Duplicate from DataScienceEngineering/7-NER-Biomed-ClinicalTerms

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ICD10Terms.txt

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+ICD10 matches for : syncope G9001 Carotid sinus syncope
+ICD10 matches for : syncope R054 Cough syncope
+ICD10 matches for : syncope R55 Syncope and collapse
+ICD10 matches for : syncope T671XXA Heat syncope, initial encounter
+ICD10 matches for : syncope T671XXD Heat syncope, subsequent encounter
+ICD10 matches for : syncope T671XXS Heat syncope, sequela
+ICD10 matches for : syncope G9001 Carotid sinus syncope
+ICD10 matches for : syncope R054 Cough syncope
+ICD10 matches for : syncope R55 Syncope and collapse
+ICD10 matches for : syncope T671XXA Heat syncope, initial encounter
+ICD10 matches for : syncope T671XXD Heat syncope, subsequent encounter
+ICD10 matches for : syncope T671XXS Heat syncope, sequela
+ICD10 matches for : zziness R42 Dizziness and giddiness
+ICD10 matches for : zziness R42 Dizziness and giddiness
+ICD10 matches for : reactions F438 Other reactions to severe stress
+ICD10 matches for : reactions M364 Arthropathy in hypersensitivity reactions classified elsewhere
+ICD10 matches for : reactions P938 Other reactions and intoxications due to drugs administered to newborn
+ICD10 matches for : reactions T781XXA Other adverse food reactions, not elsewhere classified, initial encounter
+ICD10 matches for : reactions T781XXD Other adverse food reactions, not elsewhere classified, subsequent encounter
+ICD10 matches for : reactions T781XXS Other adverse food reactions, not elsewhere classified, sequela
+ICD10 matches for : phyla T7800XA Anaphylactic reaction due to unspecified food, initial encounter
+ICD10 matches for : phyla T7800XD Anaphylactic reaction due to unspecified food, subsequent encounter
+ICD10 matches for : phyla T7800XS Anaphylactic reaction due to unspecified food, sequela
+ICD10 matches for : phyla T7801XA Anaphylactic reaction due to peanuts, initial encounter
+ICD10 matches for : phyla T7801XD Anaphylactic reaction due to peanuts, subsequent encounter
+ICD10 matches for : phyla T7801XS Anaphylactic reaction due to peanuts, sequela
+ICD10 matches for : phyla T7802XA Anaphylactic reaction due to shellfish (crustaceans), initial encounter
+ICD10 matches for : phyla T7802XD Anaphylactic reaction due to shellfish (crustaceans), subsequent encounter
+ICD10 matches for : phyla T7802XS Anaphylactic reaction due to shellfish (crustaceans), sequela
+ICD10 matches for : phyla T7803XA Anaphylactic reaction due to other fish, initial encounter
+ICD10 matches for : phyla T7803XD Anaphylactic reaction due to other fish, subsequent encounter
+ICD10 matches for : phyla T7803XS Anaphylactic reaction due to other fish, sequela
+ICD10 matches for : phyla T7804XA Anaphylactic reaction due to fruits and vegetables, initial encounter
+ICD10 matches for : phyla T7804XD Anaphylactic reaction due to fruits and vegetables, subsequent encounter
+ICD10 matches for : phyla T7804XS Anaphylactic reaction due to fruits and vegetables, sequela
+ICD10 matches for : phyla T7805XA Anaphylactic reaction due to tree nuts and seeds, initial encounter
+ICD10 matches for : phyla T7805XD Anaphylactic reaction due to tree nuts and seeds, subsequent encounter
+ICD10 matches for : phyla T7805XS Anaphylactic reaction due to tree nuts and seeds, sequela
+ICD10 matches for : phyla T7806XA Anaphylactic reaction due to food additives, initial encounter
+ICD10 matches for : phyla T7806XD Anaphylactic reaction due to food additives, subsequent encounter
+ICD10 matches for : phyla T7806XS Anaphylactic reaction due to food additives, sequela
+ICD10 matches for : phyla T7807XA Anaphylactic reaction due to milk and dairy products, initial encounter
+ICD10 matches for : phyla T7807XD Anaphylactic reaction due to milk and dairy products, subsequent encounter
+ICD10 matches for : phyla T7807XS Anaphylactic reaction due to milk and dairy products, sequela
+ICD10 matches for : phyla T7808XA Anaphylactic reaction due to eggs, initial encounter
+ICD10 matches for : phyla T7808XD Anaphylactic reaction due to eggs, subsequent encounter
+ICD10 matches for : phyla T7808XS Anaphylactic reaction due to eggs, sequela
+ICD10 matches for : phyla T7809XA Anaphylactic reaction due to other food products, initial encounter
+ICD10 matches for : phyla T7809XD Anaphylactic reaction due to other food products, subsequent encounter
+ICD10 matches for : phyla T7809XS Anaphylactic reaction due to other food products, sequela
+ICD10 matches for : phyla T782XXA Anaphylactic shock, unspecified, initial encounter
+ICD10 matches for : phyla T782XXD Anaphylactic shock, unspecified, subsequent encounter
+ICD10 matches for : phyla T782XXS Anaphylactic shock, unspecified, sequela
+ICD10 matches for : phyla T8051XA Anaphylactic reaction due to administration of blood and blood products, initial encounter
+ICD10 matches for : phyla T8051XD Anaphylactic reaction due to administration of blood and blood products, subsequent encounter
+ICD10 matches for : phyla T8051XS Anaphylactic reaction due to administration of blood and blood products, sequela
+ICD10 matches for : phyla T8052XA Anaphylactic reaction due to vaccination, initial encounter
+ICD10 matches for : phyla T8052XD Anaphylactic reaction due to vaccination, subsequent encounter
+ICD10 matches for : phyla T8052XS Anaphylactic reaction due to vaccination, sequela
+ICD10 matches for : phyla T8059XA Anaphylactic reaction due to other serum, initial encounter
+ICD10 matches for : phyla T8059XD Anaphylactic reaction due to other serum, subsequent encounter
+ICD10 matches for : phyla T8059XS Anaphylactic reaction due to other serum, sequela
+ICD10 matches for : phyla T886XXA Anaphylactic reaction due to adverse effect of correct drug or medicament properly administered, initial encounter
+ICD10 matches for : phyla T886XXD Anaphylactic reaction due to adverse effect of correct drug or medicament properly administered, subsequent encounter
+ICD10 matches for : phyla T886XXS Anaphylactic reaction due to adverse effect of correct drug or medicament properly administered, sequela
+ICD10 matches for : phyla Z2911 Encounter for prophylactic immunotherapy for respiratory syncytial virus (RSV)
+ICD10 matches for : phyla Z2912 Encounter for prophylactic antivenin
+ICD10 matches for : phyla Z2913 Encounter for prophylactic Rho(D) immune globulin
+ICD10 matches for : phyla Z2914 Encounter for prophylactic rabies immune globin
+ICD10 matches for : phyla Z293 Encounter for prophylactic fluoride administration
+ICD10 matches for : phyla Z298 Encounter for other specified prophylactic measures
+ICD10 matches for : phyla Z299 Encounter for prophylactic measures, unspecified
+ICD10 matches for : phyla Z4000 Encounter for prophylactic removal of unspecified organ
+ICD10 matches for : phyla Z4001 Encounter for prophylactic removal of breast
+ICD10 matches for : phyla Z4002 Encounter for prophylactic removal of ovary(s)
+ICD10 matches for : phyla Z4003 Encounter for prophylactic removal of fallopian tube(s)
+ICD10 matches for : phyla Z4009 Encounter for prophylactic removal of other organ
+ICD10 matches for : phyla Z408 Encounter for other prophylactic surgery
+ICD10 matches for : phyla Z409 Encounter for prophylactic surgery, unspecified
+ICD10 matches for : phyla Z87892 Personal history of anaphylaxis
+ICD10 matches for : reactions F438 Other reactions to severe stress
+ICD10 matches for : reactions M364 Arthropathy in hypersensitivity reactions classified elsewhere
+ICD10 matches for : reactions P938 Other reactions and intoxications due to drugs administered to newborn
+ICD10 matches for : reactions T781XXA Other adverse food reactions, not elsewhere classified, initial encounter
+ICD10 matches for : reactions T781XXD Other adverse food reactions, not elsewhere classified, subsequent encounter
+ICD10 matches for : reactions T781XXS Other adverse food reactions, not elsewhere classified, sequela
+ICD10 matches for : shortness of R0602 Shortness of breath
+ICD10 matches for : phyla T7800XA Anaphylactic reaction due to unspecified food, initial encounter
+ICD10 matches for : phyla T7800XD Anaphylactic reaction due to unspecified food, subsequent encounter
+ICD10 matches for : phyla T7800XS Anaphylactic reaction due to unspecified food, sequela
+ICD10 matches for : phyla T7801XA Anaphylactic reaction due to peanuts, initial encounter
+ICD10 matches for : phyla T7801XD Anaphylactic reaction due to peanuts, subsequent encounter
+ICD10 matches for : phyla T7801XS Anaphylactic reaction due to peanuts, sequela
+ICD10 matches for : phyla T7802XA Anaphylactic reaction due to shellfish (crustaceans), initial encounter
+ICD10 matches for : phyla T7802XD Anaphylactic reaction due to shellfish (crustaceans), subsequent encounter
+ICD10 matches for : phyla T7802XS Anaphylactic reaction due to shellfish (crustaceans), sequela
+ICD10 matches for : phyla T7803XA Anaphylactic reaction due to other fish, initial encounter
+ICD10 matches for : phyla T7803XD Anaphylactic reaction due to other fish, subsequent encounter
+ICD10 matches for : phyla T7803XS Anaphylactic reaction due to other fish, sequela
+ICD10 matches for : phyla T7804XA Anaphylactic reaction due to fruits and vegetables, initial encounter
+ICD10 matches for : phyla T7804XD Anaphylactic reaction due to fruits and vegetables, subsequent encounter
+ICD10 matches for : phyla T7804XS Anaphylactic reaction due to fruits and vegetables, sequela
+ICD10 matches for : phyla T7805XA Anaphylactic reaction due to tree nuts and seeds, initial encounter
+ICD10 matches for : phyla T7805XD Anaphylactic reaction due to tree nuts and seeds, subsequent encounter
+ICD10 matches for : phyla T7805XS Anaphylactic reaction due to tree nuts and seeds, sequela
+ICD10 matches for : phyla T7806XA Anaphylactic reaction due to food additives, initial encounter
+ICD10 matches for : phyla T7806XD Anaphylactic reaction due to food additives, subsequent encounter
+ICD10 matches for : phyla T7806XS Anaphylactic reaction due to food additives, sequela
+ICD10 matches for : phyla T7807XA Anaphylactic reaction due to milk and dairy products, initial encounter
+ICD10 matches for : phyla T7807XD Anaphylactic reaction due to milk and dairy products, subsequent encounter
+ICD10 matches for : phyla T7807XS Anaphylactic reaction due to milk and dairy products, sequela
+ICD10 matches for : phyla T7808XA Anaphylactic reaction due to eggs, initial encounter
+ICD10 matches for : phyla T7808XD Anaphylactic reaction due to eggs, subsequent encounter
+ICD10 matches for : phyla T7808XS Anaphylactic reaction due to eggs, sequela
+ICD10 matches for : phyla T7809XA Anaphylactic reaction due to other food products, initial encounter
+ICD10 matches for : phyla T7809XD Anaphylactic reaction due to other food products, subsequent encounter
+ICD10 matches for : phyla T7809XS Anaphylactic reaction due to other food products, sequela
+ICD10 matches for : phyla T782XXA Anaphylactic shock, unspecified, initial encounter
+ICD10 matches for : phyla T782XXD Anaphylactic shock, unspecified, subsequent encounter
+ICD10 matches for : phyla T782XXS Anaphylactic shock, unspecified, sequela
+ICD10 matches for : phyla T8051XA Anaphylactic reaction due to administration of blood and blood products, initial encounter
+ICD10 matches for : phyla T8051XD Anaphylactic reaction due to administration of blood and blood products, subsequent encounter
+ICD10 matches for : phyla T8051XS Anaphylactic reaction due to administration of blood and blood products, sequela
+ICD10 matches for : phyla T8052XA Anaphylactic reaction due to vaccination, initial encounter
+ICD10 matches for : phyla T8052XD Anaphylactic reaction due to vaccination, subsequent encounter
+ICD10 matches for : phyla T8052XS Anaphylactic reaction due to vaccination, sequela
+ICD10 matches for : phyla T8059XA Anaphylactic reaction due to other serum, initial encounter
+ICD10 matches for : phyla T8059XD Anaphylactic reaction due to other serum, subsequent encounter
+ICD10 matches for : phyla T8059XS Anaphylactic reaction due to other serum, sequela
+ICD10 matches for : phyla T886XXA Anaphylactic reaction due to adverse effect of correct drug or medicament properly administered, initial encounter
+ICD10 matches for : phyla T886XXD Anaphylactic reaction due to adverse effect of correct drug or medicament properly administered, subsequent encounter
+ICD10 matches for : phyla T886XXS Anaphylactic reaction due to adverse effect of correct drug or medicament properly administered, sequela
+ICD10 matches for : phyla Z2911 Encounter for prophylactic immunotherapy for respiratory syncytial virus (RSV)
+ICD10 matches for : phyla Z2912 Encounter for prophylactic antivenin
+ICD10 matches for : phyla Z2913 Encounter for prophylactic Rho(D) immune globulin
+ICD10 matches for : phyla Z2914 Encounter for prophylactic rabies immune globin
+ICD10 matches for : phyla Z293 Encounter for prophylactic fluoride administration
+ICD10 matches for : phyla Z298 Encounter for other specified prophylactic measures
+ICD10 matches for : phyla Z299 Encounter for prophylactic measures, unspecified
+ICD10 matches for : phyla Z4000 Encounter for prophylactic removal of unspecified organ
+ICD10 matches for : phyla Z4001 Encounter for prophylactic removal of breast
+ICD10 matches for : phyla Z4002 Encounter for prophylactic removal of ovary(s)
+ICD10 matches for : phyla Z4003 Encounter for prophylactic removal of fallopian tube(s)
+ICD10 matches for : phyla Z4009 Encounter for prophylactic removal of other organ
+ICD10 matches for : phyla Z408 Encounter for other prophylactic surgery
+ICD10 matches for : phyla Z409 Encounter for prophylactic surgery, unspecified
+ICD10 matches for : phyla Z87892 Personal history of anaphylaxis
+ICD10 matches for : shortness of R0602 Shortness of breath
+ICD10 matches for : anxiety F064 Anxiety disorder due to known physiological condition
+ICD10 matches for : anxiety F10180 Alcohol abuse with alcohol-induced anxiety disorder
+ICD10 matches for : anxiety F10280 Alcohol dependence with alcohol-induced anxiety disorder
+ICD10 matches for : anxiety F10980 Alcohol use, unspecified with alcohol-induced anxiety disorder
+ICD10 matches for : anxiety F12180 Cannabis abuse with cannabis-induced anxiety disorder
+ICD10 matches for : anxiety F12280 Cannabis dependence with cannabis-induced anxiety disorder
+ICD10 matches for : anxiety F12980 Cannabis use, unspecified with anxiety disorder
+ICD10 matches for : anxiety F13180 Sedative, hypnotic or anxiolytic abuse with sedative, hypnotic or anxiolytic-induced anxiety disorder
+ICD10 matches for : anxiety F13280 Sedative, hypnotic or anxiolytic dependence with sedative, hypnotic or anxiolytic-induced anxiety disorder
+ICD10 matches for : anxiety F13980 Sedative, hypnotic or anxiolytic use, unspecified with sedative, hypnotic or anxiolytic-induced anxiety disorder
+ICD10 matches for : anxiety F14180 Cocaine abuse with cocaine-induced anxiety disorder
+ICD10 matches for : anxiety F14280 Cocaine dependence with cocaine-induced anxiety disorder
+ICD10 matches for : anxiety F14980 Cocaine use, unspecified with cocaine-induced anxiety disorder
+ICD10 matches for : anxiety F15180 Other stimulant abuse with stimulant-induced anxiety disorder
+ICD10 matches for : anxiety F15280 Other stimulant dependence with stimulant-induced anxiety disorder
+ICD10 matches for : anxiety F15980 Other stimulant use, unspecified with stimulant-induced anxiety disorder
+ICD10 matches for : anxiety F16180 Hallucinogen abuse with hallucinogen-induced anxiety disorder
+ICD10 matches for : anxiety F16280 Hallucinogen dependence with hallucinogen-induced anxiety disorder
+ICD10 matches for : anxiety F16980 Hallucinogen use, unspecified with hallucinogen-induced anxiety disorder
+ICD10 matches for : anxiety F18180 Inhalant abuse with inhalant-induced anxiety disorder
+ICD10 matches for : anxiety F18280 Inhalant dependence with inhalant-induced anxiety disorder
+ICD10 matches for : anxiety F18980 Inhalant use, unspecified with inhalant-induced anxiety disorder
+ICD10 matches for : anxiety F19180 Other psychoactive substance abuse with psychoactive substance-induced anxiety disorder
+ICD10 matches for : anxiety F19280 Other psychoactive substance dependence with psychoactive substance-induced anxiety disorder
+ICD10 matches for : anxiety F19980 Other psychoactive substance use, unspecified with psychoactive substance-induced anxiety disorder
+ICD10 matches for : anxiety F408 Other phobic anxiety disorders
+ICD10 matches for : anxiety F409 Phobic anxiety disorder, unspecified
+ICD10 matches for : anxiety F410 Panic disorder [episodic paroxysmal anxiety]
+ICD10 matches for : anxiety F411 Generalized anxiety disorder
+ICD10 matches for : anxiety F413 Other mixed anxiety disorders
+ICD10 matches for : anxiety F418 Other specified anxiety disorders
+ICD10 matches for : anxiety F419 Anxiety disorder, unspecified
+ICD10 matches for : anxiety F4322 Adjustment disorder with anxiety
+ICD10 matches for : anxiety F4323 Adjustment disorder with mixed anxiety and depressed mood
+ICD10 matches for : anxiety F930 Separation anxiety disorder of childhood
+ICD10 matches for : anxiety F064 Anxiety disorder due to known physiological condition
+ICD10 matches for : anxiety F10180 Alcohol abuse with alcohol-induced anxiety disorder
+ICD10 matches for : anxiety F10280 Alcohol dependence with alcohol-induced anxiety disorder
+ICD10 matches for : anxiety F10980 Alcohol use, unspecified with alcohol-induced anxiety disorder
+ICD10 matches for : anxiety F12180 Cannabis abuse with cannabis-induced anxiety disorder
+ICD10 matches for : anxiety F12280 Cannabis dependence with cannabis-induced anxiety disorder
+ICD10 matches for : anxiety F12980 Cannabis use, unspecified with anxiety disorder
+ICD10 matches for : anxiety F13180 Sedative, hypnotic or anxiolytic abuse with sedative, hypnotic or anxiolytic-induced anxiety disorder
+ICD10 matches for : anxiety F13280 Sedative, hypnotic or anxiolytic dependence with sedative, hypnotic or anxiolytic-induced anxiety disorder
+ICD10 matches for : anxiety F13980 Sedative, hypnotic or anxiolytic use, unspecified with sedative, hypnotic or anxiolytic-induced anxiety disorder
+ICD10 matches for : anxiety F14180 Cocaine abuse with cocaine-induced anxiety disorder
+ICD10 matches for : anxiety F14280 Cocaine dependence with cocaine-induced anxiety disorder
+ICD10 matches for : anxiety F14980 Cocaine use, unspecified with cocaine-induced anxiety disorder
+ICD10 matches for : anxiety F15180 Other stimulant abuse with stimulant-induced anxiety disorder
+ICD10 matches for : anxiety F15280 Other stimulant dependence with stimulant-induced anxiety disorder
+ICD10 matches for : anxiety F15980 Other stimulant use, unspecified with stimulant-induced anxiety disorder
+ICD10 matches for : anxiety F16180 Hallucinogen abuse with hallucinogen-induced anxiety disorder
+ICD10 matches for : anxiety F16280 Hallucinogen dependence with hallucinogen-induced anxiety disorder
+ICD10 matches for : anxiety F16980 Hallucinogen use, unspecified with hallucinogen-induced anxiety disorder
+ICD10 matches for : anxiety F18180 Inhalant abuse with inhalant-induced anxiety disorder
+ICD10 matches for : anxiety F18280 Inhalant dependence with inhalant-induced anxiety disorder
+ICD10 matches for : anxiety F18980 Inhalant use, unspecified with inhalant-induced anxiety disorder
+ICD10 matches for : anxiety F19180 Other psychoactive substance abuse with psychoactive substance-induced anxiety disorder
+ICD10 matches for : anxiety F19280 Other psychoactive substance dependence with psychoactive substance-induced anxiety disorder
+ICD10 matches for : anxiety F19980 Other psychoactive substance use, unspecified with psychoactive substance-induced anxiety disorder
+ICD10 matches for : anxiety F408 Other phobic anxiety disorders
+ICD10 matches for : anxiety F409 Phobic anxiety disorder, unspecified
+ICD10 matches for : anxiety F410 Panic disorder [episodic paroxysmal anxiety]
+ICD10 matches for : anxiety F411 Generalized anxiety disorder
+ICD10 matches for : anxiety F413 Other mixed anxiety disorders
+ICD10 matches for : anxiety F418 Other specified anxiety disorders
+ICD10 matches for : anxiety F419 Anxiety disorder, unspecified
+ICD10 matches for : anxiety F4322 Adjustment disorder with anxiety
+ICD10 matches for : anxiety F4323 Adjustment disorder with mixed anxiety and depressed mood
+ICD10 matches for : anxiety F930 Separation anxiety disorder of childhood
+ICD10 matches for : undice P580 Neonatal jaundice due to bruising
+ICD10 matches for : undice P581 Neonatal jaundice due to bleeding
+ICD10 matches for : undice P582 Neonatal jaundice due to infection
+ICD10 matches for : undice P583 Neonatal jaundice due to polycythemia
+ICD10 matches for : undice P5841 Neonatal jaundice due to drugs or toxins transmitted from mother
+ICD10 matches for : undice P5842 Neonatal jaundice due to drugs or toxins given to newborn
+ICD10 matches for : undice P585 Neonatal jaundice due to swallowed maternal blood
+ICD10 matches for : undice P588 Neonatal jaundice due to other specified excessive hemolysis
+ICD10 matches for : undice P589 Neonatal jaundice due to excessive hemolysis, unspecified
+ICD10 matches for : undice P590 Neonatal jaundice associated with preterm delivery
+ICD10 matches for : undice P5920 Neonatal jaundice from unspecified hepatocellular damage
+ICD10 matches for : undice P5929 Neonatal jaundice from other hepatocellular damage
+ICD10 matches for : undice P593 Neonatal jaundice from breast milk inhibitor
+ICD10 matches for : undice P598 Neonatal jaundice from other specified causes
+ICD10 matches for : undice P599 Neonatal jaundice, unspecified
+ICD10 matches for : undice R17 Unspecified jaundice
+ICD10 matches for : undice P580 Neonatal jaundice due to bruising
+ICD10 matches for : undice P581 Neonatal jaundice due to bleeding
+ICD10 matches for : undice P582 Neonatal jaundice due to infection
+ICD10 matches for : undice P583 Neonatal jaundice due to polycythemia
+ICD10 matches for : undice P5841 Neonatal jaundice due to drugs or toxins transmitted from mother
+ICD10 matches for : undice P5842 Neonatal jaundice due to drugs or toxins given to newborn
+ICD10 matches for : undice P585 Neonatal jaundice due to swallowed maternal blood
+ICD10 matches for : undice P588 Neonatal jaundice due to other specified excessive hemolysis
+ICD10 matches for : undice P589 Neonatal jaundice due to excessive hemolysis, unspecified
+ICD10 matches for : undice P590 Neonatal jaundice associated with preterm delivery
+ICD10 matches for : undice P5920 Neonatal jaundice from unspecified hepatocellular damage
+ICD10 matches for : undice P5929 Neonatal jaundice from other hepatocellular damage
+ICD10 matches for : undice P593 Neonatal jaundice from breast milk inhibitor
+ICD10 matches for : undice P598 Neonatal jaundice from other specified causes
+ICD10 matches for : undice P599 Neonatal jaundice, unspecified
+ICD10 matches for : undice R17 Unspecified jaundice
+ICD10 matches for : fatigue G933 Postviral fatigue syndrome
+ICD10 matches for : fatigue M4840XA Fatigue fracture of vertebra, site unspecified, initial encounter for fracture
+ICD10 matches for : fatigue M4840XD Fatigue fracture of vertebra, site unspecified, subsequent encounter for fracture with routine healing
+ICD10 matches for : fatigue M4840XG Fatigue fracture of vertebra, site unspecified, subsequent encounter for fracture with delayed healing
+ICD10 matches for : fatigue M4840XS Fatigue fracture of vertebra, site unspecified, sequela of fracture
+ICD10 matches for : fatigue M4841XA Fatigue fracture of vertebra, occipito-atlanto-axial region, initial encounter for fracture
+ICD10 matches for : fatigue M4841XD Fatigue fracture of vertebra, occipito-atlanto-axial region, subsequent encounter for fracture with routine healing
+ICD10 matches for : fatigue M4841XG Fatigue fracture of vertebra, occipito-atlanto-axial region, subsequent encounter for fracture with delayed healing
+ICD10 matches for : fatigue M4841XS Fatigue fracture of vertebra, occipito-atlanto-axial region, sequela of fracture
+ICD10 matches for : fatigue M4842XA Fatigue fracture of vertebra, cervical region, initial encounter for fracture
+ICD10 matches for : fatigue M4842XD Fatigue fracture of vertebra, cervical region, subsequent encounter for fracture with routine healing
+ICD10 matches for : fatigue M4842XG Fatigue fracture of vertebra, cervical region, subsequent encounter for fracture with delayed healing
+ICD10 matches for : fatigue M4842XS Fatigue fracture of vertebra, cervical region, sequela of fracture
+ICD10 matches for : fatigue M4843XA Fatigue fracture of vertebra, cervicothoracic region, initial encounter for fracture
+ICD10 matches for : fatigue M4843XD Fatigue fracture of vertebra, cervicothoracic region, subsequent encounter for fracture with routine healing
+ICD10 matches for : fatigue M4843XG Fatigue fracture of vertebra, cervicothoracic region, subsequent encounter for fracture with delayed healing
+ICD10 matches for : fatigue M4843XS Fatigue fracture of vertebra, cervicothoracic region, sequela of fracture
+ICD10 matches for : fatigue M4844XA Fatigue fracture of vertebra, thoracic region, initial encounter for fracture
+ICD10 matches for : fatigue M4844XD Fatigue fracture of vertebra, thoracic region, subsequent encounter for fracture with routine healing
+ICD10 matches for : fatigue M4844XG Fatigue fracture of vertebra, thoracic region, subsequent encounter for fracture with delayed healing
+ICD10 matches for : fatigue M4844XS Fatigue fracture of vertebra, thoracic region, sequela of fracture
+ICD10 matches for : fatigue M4845XA Fatigue fracture of vertebra, thoracolumbar region, initial encounter for fracture
+ICD10 matches for : fatigue M4845XD Fatigue fracture of vertebra, thoracolumbar region, subsequent encounter for fracture with routine healing
+ICD10 matches for : fatigue M4845XG Fatigue fracture of vertebra, thoracolumbar region, subsequent encounter for fracture with delayed healing
+ICD10 matches for : fatigue M4845XS Fatigue fracture of vertebra, thoracolumbar region, sequela of fracture
+ICD10 matches for : fatigue M4846XA Fatigue fracture of vertebra, lumbar region, initial encounter for fracture
+ICD10 matches for : fatigue M4846XD Fatigue fracture of vertebra, lumbar region, subsequent encounter for fracture with routine healing
+ICD10 matches for : fatigue M4846XG Fatigue fracture of vertebra, lumbar region, subsequent encounter for fracture with delayed healing
+ICD10 matches for : fatigue M4846XS Fatigue fracture of vertebra, lumbar region, sequela of fracture
+ICD10 matches for : fatigue M4847XA Fatigue fracture of vertebra, lumbosacral region, initial encounter for fracture
+ICD10 matches for : fatigue M4847XD Fatigue fracture of vertebra, lumbosacral region, subsequent encounter for fracture with routine healing
+ICD10 matches for : fatigue M4847XG Fatigue fracture of vertebra, lumbosacral region, subsequent encounter for fracture with delayed healing
+ICD10 matches for : fatigue M4847XS Fatigue fracture of vertebra, lumbosacral region, sequela of fracture
+ICD10 matches for : fatigue M4848XA Fatigue fracture of vertebra, sacral and sacrococcygeal region, initial encounter for fracture
+ICD10 matches for : fatigue M4848XD Fatigue fracture of vertebra, sacral and sacrococcygeal region, subsequent encounter for fracture with routine healing
+ICD10 matches for : fatigue M4848XG Fatigue fracture of vertebra, sacral and sacrococcygeal region, subsequent encounter for fracture with delayed healing
+ICD10 matches for : fatigue M4848XS Fatigue fracture of vertebra, sacral and sacrococcygeal region, sequela of fracture
+ICD10 matches for : fatigue O26811 Pregnancy related exhaustion and fatigue, first trimester
+ICD10 matches for : fatigue O26812 Pregnancy related exhaustion and fatigue, second trimester
+ICD10 matches for : fatigue O26813 Pregnancy related exhaustion and fatigue, third trimester
+ICD10 matches for : fatigue O26819 Pregnancy related exhaustion and fatigue, unspecified trimester
+ICD10 matches for : fatigue R530 Neoplastic (malignant) related fatigue
+ICD10 matches for : fatigue R5382 Chronic fatigue, unspecified
+ICD10 matches for : fatigue R5383 Other fatigue
+ICD10 matches for : fatigue T676XXA Heat fatigue, transient, initial encounter
+ICD10 matches for : fatigue T676XXD Heat fatigue, transient, subsequent encounter
+ICD10 matches for : fatigue T676XXS Heat fatigue, transient, sequela
+ICD10 matches for : fatigue G933 Postviral fatigue syndrome
+ICD10 matches for : fatigue M4840XA Fatigue fracture of vertebra, site unspecified, initial encounter for fracture
+ICD10 matches for : fatigue M4840XD Fatigue fracture of vertebra, site unspecified, subsequent encounter for fracture with routine healing
+ICD10 matches for : fatigue M4840XG Fatigue fracture of vertebra, site unspecified, subsequent encounter for fracture with delayed healing
+ICD10 matches for : fatigue M4840XS Fatigue fracture of vertebra, site unspecified, sequela of fracture
+ICD10 matches for : fatigue M4841XA Fatigue fracture of vertebra, occipito-atlanto-axial region, initial encounter for fracture
+ICD10 matches for : fatigue M4841XD Fatigue fracture of vertebra, occipito-atlanto-axial region, subsequent encounter for fracture with routine healing
+ICD10 matches for : fatigue M4841XG Fatigue fracture of vertebra, occipito-atlanto-axial region, subsequent encounter for fracture with delayed healing
+ICD10 matches for : fatigue M4841XS Fatigue fracture of vertebra, occipito-atlanto-axial region, sequela of fracture
+ICD10 matches for : fatigue M4842XA Fatigue fracture of vertebra, cervical region, initial encounter for fracture
+ICD10 matches for : fatigue M4842XD Fatigue fracture of vertebra, cervical region, subsequent encounter for fracture with routine healing
+ICD10 matches for : fatigue M4842XG Fatigue fracture of vertebra, cervical region, subsequent encounter for fracture with delayed healing
+ICD10 matches for : fatigue M4842XS Fatigue fracture of vertebra, cervical region, sequela of fracture
+ICD10 matches for : fatigue M4843XA Fatigue fracture of vertebra, cervicothoracic region, initial encounter for fracture
+ICD10 matches for : fatigue M4843XD Fatigue fracture of vertebra, cervicothoracic region, subsequent encounter for fracture with routine healing
+ICD10 matches for : fatigue M4843XG Fatigue fracture of vertebra, cervicothoracic region, subsequent encounter for fracture with delayed healing
+ICD10 matches for : fatigue M4843XS Fatigue fracture of vertebra, cervicothoracic region, sequela of fracture
+ICD10 matches for : fatigue M4844XA Fatigue fracture of vertebra, thoracic region, initial encounter for fracture
+ICD10 matches for : fatigue M4844XD Fatigue fracture of vertebra, thoracic region, subsequent encounter for fracture with routine healing
+ICD10 matches for : fatigue M4844XG Fatigue fracture of vertebra, thoracic region, subsequent encounter for fracture with delayed healing
+ICD10 matches for : fatigue M4844XS Fatigue fracture of vertebra, thoracic region, sequela of fracture
+ICD10 matches for : fatigue M4845XA Fatigue fracture of vertebra, thoracolumbar region, initial encounter for fracture
+ICD10 matches for : fatigue M4845XD Fatigue fracture of vertebra, thoracolumbar region, subsequent encounter for fracture with routine healing
+ICD10 matches for : fatigue M4845XG Fatigue fracture of vertebra, thoracolumbar region, subsequent encounter for fracture with delayed healing
+ICD10 matches for : fatigue M4845XS Fatigue fracture of vertebra, thoracolumbar region, sequela of fracture
+ICD10 matches for : fatigue M4846XA Fatigue fracture of vertebra, lumbar region, initial encounter for fracture
+ICD10 matches for : fatigue M4846XD Fatigue fracture of vertebra, lumbar region, subsequent encounter for fracture with routine healing
+ICD10 matches for : fatigue M4846XG Fatigue fracture of vertebra, lumbar region, subsequent encounter for fracture with delayed healing
+ICD10 matches for : fatigue M4846XS Fatigue fracture of vertebra, lumbar region, sequela of fracture
+ICD10 matches for : fatigue M4847XA Fatigue fracture of vertebra, lumbosacral region, initial encounter for fracture
+ICD10 matches for : fatigue M4847XD Fatigue fracture of vertebra, lumbosacral region, subsequent encounter for fracture with routine healing
+ICD10 matches for : fatigue M4847XG Fatigue fracture of vertebra, lumbosacral region, subsequent encounter for fracture with delayed healing
+ICD10 matches for : fatigue M4847XS Fatigue fracture of vertebra, lumbosacral region, sequela of fracture
+ICD10 matches for : fatigue M4848XA Fatigue fracture of vertebra, sacral and sacrococcygeal region, initial encounter for fracture
+ICD10 matches for : fatigue M4848XD Fatigue fracture of vertebra, sacral and sacrococcygeal region, subsequent encounter for fracture with routine healing
+ICD10 matches for : fatigue M4848XG Fatigue fracture of vertebra, sacral and sacrococcygeal region, subsequent encounter for fracture with delayed healing
+ICD10 matches for : fatigue M4848XS Fatigue fracture of vertebra, sacral and sacrococcygeal region, sequela of fracture
+ICD10 matches for : fatigue O26811 Pregnancy related exhaustion and fatigue, first trimester
+ICD10 matches for : fatigue O26812 Pregnancy related exhaustion and fatigue, second trimester
+ICD10 matches for : fatigue O26813 Pregnancy related exhaustion and fatigue, third trimester
+ICD10 matches for : fatigue O26819 Pregnancy related exhaustion and fatigue, unspecified trimester
+ICD10 matches for : fatigue R530 Neoplastic (malignant) related fatigue
+ICD10 matches for : fatigue R5382 Chronic fatigue, unspecified
+ICD10 matches for : fatigue R5383 Other fatigue
+ICD10 matches for : fatigue T676XXA Heat fatigue, transient, initial encounter
+ICD10 matches for : fatigue T676XXD Heat fatigue, transient, subsequent encounter
+ICD10 matches for : fatigue T676XXS Heat fatigue, transient, sequela
+ICD10 matches for : sleep F10182 Alcohol abuse with alcohol-induced sleep disorder
+ICD10 matches for : sleep F10282 Alcohol dependence with alcohol-induced sleep disorder
+ICD10 matches for : sleep F10982 Alcohol use, unspecified with alcohol-induced sleep disorder
+ICD10 matches for : sleep F11182 Opioid abuse with opioid-induced sleep disorder
+ICD10 matches for : sleep F11282 Opioid dependence with opioid-induced sleep disorder
+ICD10 matches for : sleep F11982 Opioid use, unspecified with opioid-induced sleep disorder
+ICD10 matches for : sleep F13182 Sedative, hypnotic or anxiolytic abuse with sedative, hypnotic or anxiolytic-induced sleep disorder
+ICD10 matches for : sleep F13282 Sedative, hypnotic or anxiolytic dependence with sedative, hypnotic or anxiolytic-induced sleep disorder
+ICD10 matches for : sleep F13982 Sedative, hypnotic or anxiolytic use, unspecified with sedative, hypnotic or anxiolytic-induced sleep disorder
+ICD10 matches for : sleep F14182 Cocaine abuse with cocaine-induced sleep disorder
+ICD10 matches for : sleep F14282 Cocaine dependence with cocaine-induced sleep disorder
+ICD10 matches for : sleep F14982 Cocaine use, unspecified with cocaine-induced sleep disorder
+ICD10 matches for : sleep F15182 Other stimulant abuse with stimulant-induced sleep disorder
+ICD10 matches for : sleep F15282 Other stimulant dependence with stimulant-induced sleep disorder
+ICD10 matches for : sleep F15982 Other stimulant use, unspecified with stimulant-induced sleep disorder
+ICD10 matches for : sleep F19182 Other psychoactive substance abuse with psychoactive substance-induced sleep disorder
+ICD10 matches for : sleep F19282 Other psychoactive substance dependence with psychoactive substance-induced sleep disorder
+ICD10 matches for : sleep F19982 Other psychoactive substance use, unspecified with psychoactive substance-induced sleep disorder
+ICD10 matches for : sleep F5112 Insufficient sleep syndrome
+ICD10 matches for : sleep F513 Sleepwalking [somnambulism]
+ICD10 matches for : sleep F514 Sleep terrors [night terrors]
+ICD10 matches for : sleep F518 Other sleep disorders not due to a substance or known physiological condition
+ICD10 matches for : sleep F519 Sleep disorder not due to a substance or known physiological condition, unspecified
+ICD10 matches for : sleep G4711 Idiopathic hypersomnia with long sleep time
+ICD10 matches for : sleep G4712 Idiopathic hypersomnia without long sleep time
+ICD10 matches for : sleep G4720 Circadian rhythm sleep disorder, unspecified type
+ICD10 matches for : sleep G4721 Circadian rhythm sleep disorder, delayed sleep phase type
+ICD10 matches for : sleep G4722 Circadian rhythm sleep disorder, advanced sleep phase type
+ICD10 matches for : sleep G4723 Circadian rhythm sleep disorder, irregular sleep wake type
+ICD10 matches for : sleep G4724 Circadian rhythm sleep disorder, free running type
+ICD10 matches for : sleep G4725 Circadian rhythm sleep disorder, jet lag type
+ICD10 matches for : sleep G4726 Circadian rhythm sleep disorder, shift work type
+ICD10 matches for : sleep G4727 Circadian rhythm sleep disorder in conditions classified elsewhere
+ICD10 matches for : sleep G4729 Other circadian rhythm sleep disorder
+ICD10 matches for : sleep G4730 Sleep apnea, unspecified
+ICD10 matches for : sleep G4731 Primary central sleep apnea
+ICD10 matches for : sleep G4733 Obstructive sleep apnea (adult) (pediatric)
+ICD10 matches for : sleep G4734 Idiopathic sleep related nonobstructive alveolar hypoventilation
+ICD10 matches for : sleep G4736 Sleep related hypoventilation in conditions classified elsewhere
+ICD10 matches for : sleep G4737 Central sleep apnea in conditions classified elsewhere
+ICD10 matches for : sleep G4739 Other sleep apnea
+ICD10 matches for : sleep G4752 REM sleep behavior disorder
+ICD10 matches for : sleep G4753 Recurrent isolated sleep paralysis
+ICD10 matches for : sleep G4762 Sleep related leg cramps
+ICD10 matches for : sleep G4763 Sleep related bruxism
+ICD10 matches for : sleep G4769 Other sleep related movement disorders
+ICD10 matches for : sleep G478 Other sleep disorders
+ICD10 matches for : sleep G479 Sleep disorder, unspecified
+ICD10 matches for : sleep P283 Primary sleep apnea of newborn
+ICD10 matches for : sleep Y9384 Activity, sleeping
+ICD10 matches for : sleep Z72820 Sleep deprivation
+ICD10 matches for : sleep Z72821 Inadequate sleep hygiene
+ICD10 matches for : sleep Z73810 Behavioral insomnia of childhood, sleep-onset association type
+ICD10 matches for : sleep F10182 Alcohol abuse with alcohol-induced sleep disorder
+ICD10 matches for : sleep F10282 Alcohol dependence with alcohol-induced sleep disorder
+ICD10 matches for : sleep F10982 Alcohol use, unspecified with alcohol-induced sleep disorder
+ICD10 matches for : sleep F11182 Opioid abuse with opioid-induced sleep disorder
+ICD10 matches for : sleep F11282 Opioid dependence with opioid-induced sleep disorder
+ICD10 matches for : sleep F11982 Opioid use, unspecified with opioid-induced sleep disorder
+ICD10 matches for : sleep F13182 Sedative, hypnotic or anxiolytic abuse with sedative, hypnotic or anxiolytic-induced sleep disorder
+ICD10 matches for : sleep F13282 Sedative, hypnotic or anxiolytic dependence with sedative, hypnotic or anxiolytic-induced sleep disorder
+ICD10 matches for : sleep F13982 Sedative, hypnotic or anxiolytic use, unspecified with sedative, hypnotic or anxiolytic-induced sleep disorder
+ICD10 matches for : sleep F14182 Cocaine abuse with cocaine-induced sleep disorder
+ICD10 matches for : sleep F14282 Cocaine dependence with cocaine-induced sleep disorder
+ICD10 matches for : sleep F14982 Cocaine use, unspecified with cocaine-induced sleep disorder
+ICD10 matches for : sleep F15182 Other stimulant abuse with stimulant-induced sleep disorder
+ICD10 matches for : sleep F15282 Other stimulant dependence with stimulant-induced sleep disorder
+ICD10 matches for : sleep F15982 Other stimulant use, unspecified with stimulant-induced sleep disorder
+ICD10 matches for : sleep F19182 Other psychoactive substance abuse with psychoactive substance-induced sleep disorder
+ICD10 matches for : sleep F19282 Other psychoactive substance dependence with psychoactive substance-induced sleep disorder
+ICD10 matches for : sleep F19982 Other psychoactive substance use, unspecified with psychoactive substance-induced sleep disorder
+ICD10 matches for : sleep F5112 Insufficient sleep syndrome
+ICD10 matches for : sleep F513 Sleepwalking [somnambulism]
+ICD10 matches for : sleep F514 Sleep terrors [night terrors]
+ICD10 matches for : sleep F518 Other sleep disorders not due to a substance or known physiological condition
+ICD10 matches for : sleep F519 Sleep disorder not due to a substance or known physiological condition, unspecified
+ICD10 matches for : sleep G4711 Idiopathic hypersomnia with long sleep time
+ICD10 matches for : sleep G4712 Idiopathic hypersomnia without long sleep time
+ICD10 matches for : sleep G4720 Circadian rhythm sleep disorder, unspecified type
+ICD10 matches for : sleep G4721 Circadian rhythm sleep disorder, delayed sleep phase type
+ICD10 matches for : sleep G4722 Circadian rhythm sleep disorder, advanced sleep phase type
+ICD10 matches for : sleep G4723 Circadian rhythm sleep disorder, irregular sleep wake type
+ICD10 matches for : sleep G4724 Circadian rhythm sleep disorder, free running type
+ICD10 matches for : sleep G4725 Circadian rhythm sleep disorder, jet lag type
+ICD10 matches for : sleep G4726 Circadian rhythm sleep disorder, shift work type
+ICD10 matches for : sleep G4727 Circadian rhythm sleep disorder in conditions classified elsewhere
+ICD10 matches for : sleep G4729 Other circadian rhythm sleep disorder
+ICD10 matches for : sleep G4730 Sleep apnea, unspecified
+ICD10 matches for : sleep G4731 Primary central sleep apnea
+ICD10 matches for : sleep G4733 Obstructive sleep apnea (adult) (pediatric)
+ICD10 matches for : sleep G4734 Idiopathic sleep related nonobstructive alveolar hypoventilation
+ICD10 matches for : sleep G4736 Sleep related hypoventilation in conditions classified elsewhere
+ICD10 matches for : sleep G4737 Central sleep apnea in conditions classified elsewhere
+ICD10 matches for : sleep G4739 Other sleep apnea
+ICD10 matches for : sleep G4752 REM sleep behavior disorder
+ICD10 matches for : sleep G4753 Recurrent isolated sleep paralysis
+ICD10 matches for : sleep G4762 Sleep related leg cramps
+ICD10 matches for : sleep G4763 Sleep related bruxism
+ICD10 matches for : sleep G4769 Other sleep related movement disorders
+ICD10 matches for : sleep G478 Other sleep disorders
+ICD10 matches for : sleep G479 Sleep disorder, unspecified
+ICD10 matches for : sleep P283 Primary sleep apnea of newborn
+ICD10 matches for : sleep Y9384 Activity, sleeping
+ICD10 matches for : sleep Z72820 Sleep deprivation
+ICD10 matches for : sleep Z72821 Inadequate sleep hygiene
+ICD10 matches for : sleep Z73810 Behavioral insomnia of childhood, sleep-onset association type
+ICD10 matches for : syncope G9001 Carotid sinus syncope
+ICD10 matches for : syncope R054 Cough syncope
+ICD10 matches for : syncope R55 Syncope and collapse
+ICD10 matches for : syncope T671XXA Heat syncope, initial encounter
+ICD10 matches for : syncope T671XXD Heat syncope, subsequent encounter
+ICD10 matches for : syncope T671XXS Heat syncope, sequela
+ICD10 matches for : syncope G9001 Carotid sinus syncope
+ICD10 matches for : syncope R054 Cough syncope
+ICD10 matches for : syncope R55 Syncope and collapse
+ICD10 matches for : syncope T671XXA Heat syncope, initial encounter
+ICD10 matches for : syncope T671XXD Heat syncope, subsequent encounter
+ICD10 matches for : syncope T671XXS Heat syncope, sequela
+ICD10 matches for : zziness R42 Dizziness and giddiness
+ICD10 matches for : zziness R42 Dizziness and giddiness
+ICD10 matches for : reactions F438 Other reactions to severe stress
+ICD10 matches for : reactions M364 Arthropathy in hypersensitivity reactions classified elsewhere
+ICD10 matches for : reactions P938 Other reactions and intoxications due to drugs administered to newborn
+ICD10 matches for : reactions T781XXA Other adverse food reactions, not elsewhere classified, initial encounter
+ICD10 matches for : reactions T781XXD Other adverse food reactions, not elsewhere classified, subsequent encounter
+ICD10 matches for : reactions T781XXS Other adverse food reactions, not elsewhere classified, sequela
+ICD10 matches for : reactions F438 Other reactions to severe stress
+ICD10 matches for : reactions M364 Arthropathy in hypersensitivity reactions classified elsewhere
+ICD10 matches for : reactions P938 Other reactions and intoxications due to drugs administered to newborn
+ICD10 matches for : reactions T781XXA Other adverse food reactions, not elsewhere classified, initial encounter
+ICD10 matches for : reactions T781XXD Other adverse food reactions, not elsewhere classified, subsequent encounter
+ICD10 matches for : reactions T781XXS Other adverse food reactions, not elsewhere classified, sequela
+ICD10 matches for : phyla T7800XA Anaphylactic reaction due to unspecified food, initial encounter
+ICD10 matches for : phyla T7800XD Anaphylactic reaction due to unspecified food, subsequent encounter
+ICD10 matches for : phyla T7800XS Anaphylactic reaction due to unspecified food, sequela
+ICD10 matches for : phyla T7801XA Anaphylactic reaction due to peanuts, initial encounter
+ICD10 matches for : phyla T7801XD Anaphylactic reaction due to peanuts, subsequent encounter
+ICD10 matches for : phyla T7801XS Anaphylactic reaction due to peanuts, sequela
+ICD10 matches for : phyla T7802XA Anaphylactic reaction due to shellfish (crustaceans), initial encounter
+ICD10 matches for : phyla T7802XD Anaphylactic reaction due to shellfish (crustaceans), subsequent encounter
+ICD10 matches for : phyla T7802XS Anaphylactic reaction due to shellfish (crustaceans), sequela
+ICD10 matches for : phyla T7803XA Anaphylactic reaction due to other fish, initial encounter
+ICD10 matches for : phyla T7803XD Anaphylactic reaction due to other fish, subsequent encounter
+ICD10 matches for : phyla T7803XS Anaphylactic reaction due to other fish, sequela
+ICD10 matches for : phyla T7804XA Anaphylactic reaction due to fruits and vegetables, initial encounter
+ICD10 matches for : phyla T7804XD Anaphylactic reaction due to fruits and vegetables, subsequent encounter
+ICD10 matches for : phyla T7804XS Anaphylactic reaction due to fruits and vegetables, sequela
+ICD10 matches for : phyla T7805XA Anaphylactic reaction due to tree nuts and seeds, initial encounter
+ICD10 matches for : phyla T7805XD Anaphylactic reaction due to tree nuts and seeds, subsequent encounter
+ICD10 matches for : phyla T7805XS Anaphylactic reaction due to tree nuts and seeds, sequela
+ICD10 matches for : phyla T7806XA Anaphylactic reaction due to food additives, initial encounter
+ICD10 matches for : phyla T7806XD Anaphylactic reaction due to food additives, subsequent encounter
+ICD10 matches for : phyla T7806XS Anaphylactic reaction due to food additives, sequela
+ICD10 matches for : phyla T7807XA Anaphylactic reaction due to milk and dairy products, initial encounter
+ICD10 matches for : phyla T7807XD Anaphylactic reaction due to milk and dairy products, subsequent encounter
+ICD10 matches for : phyla T7807XS Anaphylactic reaction due to milk and dairy products, sequela
+ICD10 matches for : phyla T7808XA Anaphylactic reaction due to eggs, initial encounter
+ICD10 matches for : phyla T7808XD Anaphylactic reaction due to eggs, subsequent encounter
+ICD10 matches for : phyla T7808XS Anaphylactic reaction due to eggs, sequela
+ICD10 matches for : phyla T7809XA Anaphylactic reaction due to other food products, initial encounter
+ICD10 matches for : phyla T7809XD Anaphylactic reaction due to other food products, subsequent encounter
+ICD10 matches for : phyla T7809XS Anaphylactic reaction due to other food products, sequela
+ICD10 matches for : phyla T782XXA Anaphylactic shock, unspecified, initial encounter
+ICD10 matches for : phyla T782XXD Anaphylactic shock, unspecified, subsequent encounter
+ICD10 matches for : phyla T782XXS Anaphylactic shock, unspecified, sequela
+ICD10 matches for : phyla T8051XA Anaphylactic reaction due to administration of blood and blood products, initial encounter
+ICD10 matches for : phyla T8051XD Anaphylactic reaction due to administration of blood and blood products, subsequent encounter
+ICD10 matches for : phyla T8051XS Anaphylactic reaction due to administration of blood and blood products, sequela
+ICD10 matches for : phyla T8052XA Anaphylactic reaction due to vaccination, initial encounter
+ICD10 matches for : phyla T8052XD Anaphylactic reaction due to vaccination, subsequent encounter
+ICD10 matches for : phyla T8052XS Anaphylactic reaction due to vaccination, sequela
+ICD10 matches for : phyla T8059XA Anaphylactic reaction due to other serum, initial encounter
+ICD10 matches for : phyla T8059XD Anaphylactic reaction due to other serum, subsequent encounter
+ICD10 matches for : phyla T8059XS Anaphylactic reaction due to other serum, sequela
+ICD10 matches for : phyla T886XXA Anaphylactic reaction due to adverse effect of correct drug or medicament properly administered, initial encounter
+ICD10 matches for : phyla T886XXD Anaphylactic reaction due to adverse effect of correct drug or medicament properly administered, subsequent encounter
+ICD10 matches for : phyla T886XXS Anaphylactic reaction due to adverse effect of correct drug or medicament properly administered, sequela
+ICD10 matches for : phyla Z2911 Encounter for prophylactic immunotherapy for respiratory syncytial virus (RSV)
+ICD10 matches for : phyla Z2912 Encounter for prophylactic antivenin
+ICD10 matches for : phyla Z2913 Encounter for prophylactic Rho(D) immune globulin
+ICD10 matches for : phyla Z2914 Encounter for prophylactic rabies immune globin
+ICD10 matches for : phyla Z293 Encounter for prophylactic fluoride administration
+ICD10 matches for : phyla Z298 Encounter for other specified prophylactic measures
+ICD10 matches for : phyla Z299 Encounter for prophylactic measures, unspecified
+ICD10 matches for : phyla Z4000 Encounter for prophylactic removal of unspecified organ
+ICD10 matches for : phyla Z4001 Encounter for prophylactic removal of breast
+ICD10 matches for : phyla Z4002 Encounter for prophylactic removal of ovary(s)
+ICD10 matches for : phyla Z4003 Encounter for prophylactic removal of fallopian tube(s)
+ICD10 matches for : phyla Z4009 Encounter for prophylactic removal of other organ
+ICD10 matches for : phyla Z408 Encounter for other prophylactic surgery
+ICD10 matches for : phyla Z409 Encounter for prophylactic surgery, unspecified
+ICD10 matches for : phyla Z87892 Personal history of anaphylaxis
+ICD10 matches for : phyla T7800XA Anaphylactic reaction due to unspecified food, initial encounter
+ICD10 matches for : phyla T7800XD Anaphylactic reaction due to unspecified food, subsequent encounter
+ICD10 matches for : phyla T7800XS Anaphylactic reaction due to unspecified food, sequela
+ICD10 matches for : phyla T7801XA Anaphylactic reaction due to peanuts, initial encounter
+ICD10 matches for : phyla T7801XD Anaphylactic reaction due to peanuts, subsequent encounter
+ICD10 matches for : phyla T7801XS Anaphylactic reaction due to peanuts, sequela
+ICD10 matches for : phyla T7802XA Anaphylactic reaction due to shellfish (crustaceans), initial encounter
+ICD10 matches for : phyla T7802XD Anaphylactic reaction due to shellfish (crustaceans), subsequent encounter
+ICD10 matches for : phyla T7802XS Anaphylactic reaction due to shellfish (crustaceans), sequela
+ICD10 matches for : phyla T7803XA Anaphylactic reaction due to other fish, initial encounter
+ICD10 matches for : phyla T7803XD Anaphylactic reaction due to other fish, subsequent encounter
+ICD10 matches for : phyla T7803XS Anaphylactic reaction due to other fish, sequela
+ICD10 matches for : phyla T7804XA Anaphylactic reaction due to fruits and vegetables, initial encounter
+ICD10 matches for : phyla T7804XD Anaphylactic reaction due to fruits and vegetables, subsequent encounter
+ICD10 matches for : phyla T7804XS Anaphylactic reaction due to fruits and vegetables, sequela
+ICD10 matches for : phyla T7805XA Anaphylactic reaction due to tree nuts and seeds, initial encounter
+ICD10 matches for : phyla T7805XD Anaphylactic reaction due to tree nuts and seeds, subsequent encounter
+ICD10 matches for : phyla T7805XS Anaphylactic reaction due to tree nuts and seeds, sequela
+ICD10 matches for : phyla T7806XA Anaphylactic reaction due to food additives, initial encounter
+ICD10 matches for : phyla T7806XD Anaphylactic reaction due to food additives, subsequent encounter
+ICD10 matches for : phyla T7806XS Anaphylactic reaction due to food additives, sequela
+ICD10 matches for : phyla T7807XA Anaphylactic reaction due to milk and dairy products, initial encounter
+ICD10 matches for : phyla T7807XD Anaphylactic reaction due to milk and dairy products, subsequent encounter
+ICD10 matches for : phyla T7807XS Anaphylactic reaction due to milk and dairy products, sequela
+ICD10 matches for : phyla T7808XA Anaphylactic reaction due to eggs, initial encounter
+ICD10 matches for : phyla T7808XD Anaphylactic reaction due to eggs, subsequent encounter
+ICD10 matches for : phyla T7808XS Anaphylactic reaction due to eggs, sequela
+ICD10 matches for : phyla T7809XA Anaphylactic reaction due to other food products, initial encounter
+ICD10 matches for : phyla T7809XD Anaphylactic reaction due to other food products, subsequent encounter
+ICD10 matches for : phyla T7809XS Anaphylactic reaction due to other food products, sequela
+ICD10 matches for : phyla T782XXA Anaphylactic shock, unspecified, initial encounter
+ICD10 matches for : phyla T782XXD Anaphylactic shock, unspecified, subsequent encounter
+ICD10 matches for : phyla T782XXS Anaphylactic shock, unspecified, sequela
+ICD10 matches for : phyla T8051XA Anaphylactic reaction due to administration of blood and blood products, initial encounter
+ICD10 matches for : phyla T8051XD Anaphylactic reaction due to administration of blood and blood products, subsequent encounter
+ICD10 matches for : phyla T8051XS Anaphylactic reaction due to administration of blood and blood products, sequela
+ICD10 matches for : phyla T8052XA Anaphylactic reaction due to vaccination, initial encounter
+ICD10 matches for : phyla T8052XD Anaphylactic reaction due to vaccination, subsequent encounter
+ICD10 matches for : phyla T8052XS Anaphylactic reaction due to vaccination, sequela
+ICD10 matches for : phyla T8059XA Anaphylactic reaction due to other serum, initial encounter
+ICD10 matches for : phyla T8059XD Anaphylactic reaction due to other serum, subsequent encounter
+ICD10 matches for : phyla T8059XS Anaphylactic reaction due to other serum, sequela
+ICD10 matches for : phyla T886XXA Anaphylactic reaction due to adverse effect of correct drug or medicament properly administered, initial encounter
+ICD10 matches for : phyla T886XXD Anaphylactic reaction due to adverse effect of correct drug or medicament properly administered, subsequent encounter
+ICD10 matches for : phyla T886XXS Anaphylactic reaction due to adverse effect of correct drug or medicament properly administered, sequela
+ICD10 matches for : phyla Z2911 Encounter for prophylactic immunotherapy for respiratory syncytial virus (RSV)
+ICD10 matches for : phyla Z2912 Encounter for prophylactic antivenin
+ICD10 matches for : phyla Z2913 Encounter for prophylactic Rho(D) immune globulin
+ICD10 matches for : phyla Z2914 Encounter for prophylactic rabies immune globin
+ICD10 matches for : phyla Z293 Encounter for prophylactic fluoride administration
+ICD10 matches for : phyla Z298 Encounter for other specified prophylactic measures
+ICD10 matches for : phyla Z299 Encounter for prophylactic measures, unspecified
+ICD10 matches for : phyla Z4000 Encounter for prophylactic removal of unspecified organ
+ICD10 matches for : phyla Z4001 Encounter for prophylactic removal of breast
+ICD10 matches for : phyla Z4002 Encounter for prophylactic removal of ovary(s)
+ICD10 matches for : phyla Z4003 Encounter for prophylactic removal of fallopian tube(s)
+ICD10 matches for : phyla Z4009 Encounter for prophylactic removal of other organ
+ICD10 matches for : phyla Z408 Encounter for other prophylactic surgery
+ICD10 matches for : phyla Z409 Encounter for prophylactic surgery, unspecified
+ICD10 matches for : phyla Z87892 Personal history of anaphylaxis
+ICD10 matches for : shortness of R0602 Shortness of breath
+ICD10 matches for : shortness of R0602 Shortness of breath

LoincTableCore.csv

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:0ebc67fe7ec52a031d2157f2938e01ee4c68a75331fa95b01ad13b2338df009c
+size 23786041

OMSTerms.txt

@@ -0,0 +1,244 @@
+OMS matches for : syncope 53    29.07
+Name: Omaha Code, dtype: object 53    271594007
+Name: SNOMED CT concept ID, dtype: object Syncope (disorder) PB0029 Circulation Surveillance SS2907 Syncopal Episodes (Fainting)/Dizziness
+OMS matches for : syncope 53    29.07
+Name: Omaha Code, dtype: object 53    271594007
+Name: SNOMED CT concept ID, dtype: object Syncope (disorder) PB0029 Circulation Surveillance SS2907 Syncopal Episodes (Fainting)/Dizziness
+OMS matches for : undice 102    30.08
+Name: Omaha Code, dtype: object 102    18165001
+Name: SNOMED CT concept ID, dtype: object Jaundice (finding) PB0030 Digestion-hydration Surveillance SS3008 Jaundice/liver enlargement
+OMS matches for : undice 102    30.08
+Name: Omaha Code, dtype: object 102    18165001
+Name: SNOMED CT concept ID, dtype: object Jaundice (finding) PB0030 Digestion-hydration Surveillance SS3008 Jaundice/liver enlargement
+OMS matches for : fatigue 206    12.10
+Name: Omaha Code, dtype: object 206    84229001
+Name: SNOMED CT concept ID, dtype: object Fatigue (finding) PB0012 Mental health Surveillance SS1210 Somatic complaints/fatigue
+OMS matches for : fatigue 206    12.10
+Name: Omaha Code, dtype: object 206    84229001
+Name: SNOMED CT concept ID, dtype: object Fatigue (finding) PB0012 Mental health Surveillance SS1210 Somatic complaints/fatigue
+nan
+nan
+nan
+nan
+OMS matches for : sleep 246    02.45
+361    01.45
+405    03.45
+454    04.45
+747    36.08
+748    36.03
+749       36
+753    36.06
+755    36.01
+756    36.06
+Name: Omaha Code, dtype: object 246    225206006
+361    410305008
+405    410352002
+454    410409001
+747     73430006
+748     80495009
+749    106021008
+753    422730001
+755    423439006
+756    425202006
+Name: SNOMED CT concept ID, dtype: object Sleep apnea (disorder) PB0036 Sleep and rest patterns Surveillance SS3608 Sleep apnea
+OMS matches for : sleep 246    02.45
+361    01.45
+405    03.45
+454    04.45
+747    36.08
+748    36.03
+749       36
+753    36.06
+755    36.01
+756    36.06
+Name: Omaha Code, dtype: object 246    225206006
+361    410305008
+405    410352002
+454    410409001
+747     73430006
+748     80495009
+749    106021008
+753    422730001
+755    423439006
+756    425202006
+Name: SNOMED CT concept ID, dtype: object Sleep walking disorder (disorder) PB0036 Sleep and rest patterns Surveillance SS3603 Sleepwalking
+nan
+OMS matches for : sleep 246    02.45
+361    01.45
+405    03.45
+454    04.45
+747    36.08
+748    36.03
+749       36
+753    36.06
+755    36.01
+756    36.06
+Name: Omaha Code, dtype: object 246    225206006
+361    410305008
+405    410352002
+454    410409001
+747     73430006
+748     80495009
+749    106021008
+753    422730001
+755    423439006
+756    425202006
+Name: SNOMED CT concept ID, dtype: object Insufficient rest/sleep for physical condition (finding) PB0036 Sleep and rest patterns Surveillance SS3606 Insufficient sleep/rest for age/physical condition
+OMS matches for : sleep 246    02.45
+361    01.45
+405    03.45
+454    04.45
+747    36.08
+748    36.03
+749       36
+753    36.06
+755    36.01
+756    36.06
+Name: Omaha Code, dtype: object 246    225206006
+361    410305008
+405    410352002
+454    410409001
+747     73430006
+748     80495009
+749    106021008
+753    422730001
+755    423439006
+756    425202006
+Name: SNOMED CT concept ID, dtype: object Sleep pattern disrupts family lifestyle (finding) PB0036 Sleep and rest patterns Surveillance SS3601 Sleep/rest pattern disrupts family
+OMS matches for : sleep 246    02.45
+361    01.45
+405    03.45
+454    04.45
+747    36.08
+748    36.03
+749       36
+753    36.06
+755    36.01
+756    36.06
+Name: Omaha Code, dtype: object 246    225206006
+361    410305008
+405    410352002
+454    410409001
+747     73430006
+748     80495009
+749    106021008
+753    422730001
+755    423439006
+756    425202006
+Name: SNOMED CT concept ID, dtype: object Insufficient rest/sleep for age (finding) PB0036 Sleep and rest patterns Surveillance SS3606 Insufficient sleep/rest for age/physical condition
+nan
+nan
+nan
+nan
+OMS matches for : sleep 246    02.45
+361    01.45
+405    03.45
+454    04.45
+747    36.08
+748    36.03
+749       36
+753    36.06
+755    36.01
+756    36.06
+Name: Omaha Code, dtype: object 246    225206006
+361    410305008
+405    410352002
+454    410409001
+747     73430006
+748     80495009
+749    106021008
+753    422730001
+755    423439006
+756    425202006
+Name: SNOMED CT concept ID, dtype: object Sleep apnea (disorder) PB0036 Sleep and rest patterns Surveillance SS3608 Sleep apnea
+OMS matches for : sleep 246    02.45
+361    01.45
+405    03.45
+454    04.45
+747    36.08
+748    36.03
+749       36
+753    36.06
+755    36.01
+756    36.06
+Name: Omaha Code, dtype: object 246    225206006
+361    410305008
+405    410352002
+454    410409001
+747     73430006
+748     80495009
+749    106021008
+753    422730001
+755    423439006
+756    425202006
+Name: SNOMED CT concept ID, dtype: object Sleep walking disorder (disorder) PB0036 Sleep and rest patterns Surveillance SS3603 Sleepwalking
+nan
+OMS matches for : sleep 246    02.45
+361    01.45
+405    03.45
+454    04.45
+747    36.08
+748    36.03
+749       36
+753    36.06
+755    36.01
+756    36.06
+Name: Omaha Code, dtype: object 246    225206006
+361    410305008
+405    410352002
+454    410409001
+747     73430006
+748     80495009
+749    106021008
+753    422730001
+755    423439006
+756    425202006
+Name: SNOMED CT concept ID, dtype: object Insufficient rest/sleep for physical condition (finding) PB0036 Sleep and rest patterns Surveillance SS3606 Insufficient sleep/rest for age/physical condition
+OMS matches for : sleep 246    02.45
+361    01.45
+405    03.45
+454    04.45
+747    36.08
+748    36.03
+749       36
+753    36.06
+755    36.01
+756    36.06
+Name: Omaha Code, dtype: object 246    225206006
+361    410305008
+405    410352002
+454    410409001
+747     73430006
+748     80495009
+749    106021008
+753    422730001
+755    423439006
+756    425202006
+Name: SNOMED CT concept ID, dtype: object Sleep pattern disrupts family lifestyle (finding) PB0036 Sleep and rest patterns Surveillance SS3601 Sleep/rest pattern disrupts family
+OMS matches for : sleep 246    02.45
+361    01.45
+405    03.45
+454    04.45
+747    36.08
+748    36.03
+749       36
+753    36.06
+755    36.01
+756    36.06
+Name: Omaha Code, dtype: object 246    225206006
+361    410305008
+405    410352002
+454    410409001
+747     73430006
+748     80495009
+749    106021008
+753    422730001
+755    423439006
+756    425202006
+Name: SNOMED CT concept ID, dtype: object Insufficient rest/sleep for age (finding) PB0036 Sleep and rest patterns Surveillance SS3606 Insufficient sleep/rest for age/physical condition
+OMS matches for : syncope 53    29.07
+Name: Omaha Code, dtype: object 53    271594007
+Name: SNOMED CT concept ID, dtype: object Syncope (disorder) PB0029 Circulation Surveillance SS2907 Syncopal Episodes (Fainting)/Dizziness
+OMS matches for : syncope 53    29.07
+Name: Omaha Code, dtype: object 53    271594007
+Name: SNOMED CT concept ID, dtype: object Syncope (disorder) PB0029 Circulation Surveillance SS2907 Syncopal Episodes (Fainting)/Dizziness

PanelsAndForms-ACW1208Labeled.csv

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:830bed108c436e46fbca26ec4b0cb449cb113bb15159de961f36289c9a6036ef
+size 12613127

README.md

@@ -0,0 +1,13 @@
+---
+title: ⚕️ Clinical Terminology Biomed NLP AI NER 🩺 Gradio
+emoji: 👩‍⚕️CT👩‍⚕️
+colorFrom: blue
+colorTo: yellow
+sdk: gradio
+sdk_version: 3.16.0
+app_file: app.py
+pinned: false
+duplicated_from: DataScienceEngineering/7-NER-Biomed-ClinicalTerms
+---
+
+Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference

app.py

@@ -0,0 +1,268 @@
+import gradio as gr
+import pandas as pd
+import json
+from collections import defaultdict
+
+# Create tokenizer for biomed model
+from transformers import pipeline, AutoTokenizer, AutoModelForTokenClassification
+tokenizer = AutoTokenizer.from_pretrained("d4data/biomedical-ner-all")    # https://huggingface.co/d4data/biomedical-ner-all?text=asthma
+model = AutoModelForTokenClassification.from_pretrained("d4data/biomedical-ner-all")
+pipe = pipeline("ner", model=model, tokenizer=tokenizer, aggregation_strategy="simple")
+
+# Matplotlib for entity graph
+import matplotlib.pyplot as plt
+plt.switch_backend("Agg")
+
+# Load examples from JSON
+import os 
+
+# Load terminology datasets:
+basedir = os.path.dirname(__file__)
+#dataLOINC = pd.read_csv(basedir + "\\" + f'LoincTableCore.csv')
+#dataPanels = pd.read_csv(basedir + "\\" + f'PanelsAndForms-ACW1208Labeled.csv')     
+#dataSNOMED = pd.read_csv(basedir + "\\" + f'sct2_TextDefinition_Full-en_US1000124_20220901.txt',sep='\t')   
+#dataOMS = pd.read_csv(basedir + "\\" + f'SnomedOMS.csv')   
+#dataICD10 = pd.read_csv(basedir + "\\" + f'ICD10Diagnosis.csv') 
+
+dataLOINC = pd.read_csv(f'LoincTableCore.csv')
+dataPanels = pd.read_csv(f'PanelsAndForms-ACW1208Labeled.csv')     
+dataSNOMED = pd.read_csv(f'sct2_TextDefinition_Full-en_US1000124_20220901.txt',sep='\t')   
+dataOMS = pd.read_csv(f'SnomedOMS.csv')   
+dataICD10 = pd.read_csv(f'ICD10Diagnosis.csv')   
+
+dir_path = os.path.dirname(os.path.realpath(__file__))
+EXAMPLES = {}
+#with open(dir_path + "\\" + "examples.json", "r") as f:
+with open("examples.json", "r") as f:
+    example_json = json.load(f)
+    EXAMPLES = {x["text"]: x["label"] for x in example_json}
+
+def MatchLOINC(name):
+    #basedir = os.path.dirname(__file__)
+    pd.set_option("display.max_rows", None)
+    #data = pd.read_csv(basedir + "\\" + f'LoincTableCore.csv')    
+    data = dataLOINC
+    swith=data.loc[data['COMPONENT'].str.contains(name, case=False, na=False)]
+    return swith
+    
+def MatchLOINCPanelsandForms(name):
+    #basedir = os.path.dirname(__file__)
+    #data = pd.read_csv(basedir + "\\" + f'PanelsAndForms-ACW1208Labeled.csv')     
+    data = dataPanels
+    # Assessment Name:
+    #swith=data.loc[data['ParentName'].str.contains(name, case=False, na=False)]
+    # Assessment Question:
+    swith=data.loc[data['LoincName'].str.contains(name, case=False, na=False)]
+    return swith
+    
+def MatchSNOMED(name):
+    #basedir = os.path.dirname(__file__)
+    #data = pd.read_csv(basedir + "\\" + f'sct2_TextDefinition_Full-en_US1000124_20220901.txt',sep='\t')   
+    data = dataSNOMED
+    swith=data.loc[data['term'].str.contains(name, case=False, na=False)]
+    return swith
+
+def MatchOMS(name):
+    #basedir = os.path.dirname(__file__)
+    #data = pd.read_csv(basedir + "\\" + f'SnomedOMS.csv')   
+    data = dataOMS
+    swith=data.loc[data['SNOMED CT'].str.contains(name, case=False, na=False)]
+    return swith
+
+def MatchICD10(name):
+    #basedir = os.path.dirname(__file__)
+    #data = pd.read_csv(basedir + "\\" + f'ICD10Diagnosis.csv')   
+    data = dataICD10
+    swith=data.loc[data['Description'].str.contains(name, case=False, na=False)]
+    return swith
+
+def SaveResult(text, outputfileName):
+    #try:
+    basedir = os.path.dirname(__file__)
+    savePath = outputfileName
+    print("Saving: " + text + " to " + savePath)
+    from os.path import exists
+    file_exists = exists(savePath)
+    if file_exists:
+        with open(outputfileName, "a") as f: #append
+            #for line in text:
+            f.write(str(text.replace("\n","  ")))
+            f.write('\n')
+    else:
+        with open(outputfileName, "w") as f: #write
+            #for line in text:
+            f.write(str(text.replace("\n","  ")))
+            f.write('\n')
+    #except ValueError as err:
+    #    raise ValueError("File Save Error in SaveResult \n" + format_tb(err.__traceback__)[0] + err.args[0] + "\nEnd of error message.") from None
+
+    return
+
+def loadFile(filename):
+    try:
+        basedir = os.path.dirname(__file__)
+        loadPath = basedir + "\\" + filename
+
+        print("Loading: " + loadPath)
+
+        from os.path import exists
+        file_exists = exists(loadPath)
+
+        if file_exists:
+            with open(loadPath, "r") as f: #read
+                contents = f.read()
+                print(contents)
+                return contents
+
+    except ValueError as err:
+        raise ValueError("File Save Error in SaveResult \n" + format_tb(err.__traceback__)[0] + err.args[0] + "\nEnd of error message.") from None
+
+    return ""
+
+def get_today_filename():
+    from datetime import datetime
+    date = datetime.now().strftime("%Y_%m_%d-%I.%M.%S.%p")
+    #print(f"filename_{date}")  'filename_2023_01_12-03-29-22_AM'
+    return f"MedNER_{date}.csv"
+
+def get_base(filename): 
+        basedir = os.path.dirname(__file__)
+        loadPath = basedir + "\\" + filename
+        #print("Loading: " + loadPath)
+        return loadPath
+
+def group_by_entity(raw):
+    outputFile = get_base(get_today_filename())
+    out = defaultdict(int)
+
+    for ent in raw:
+        out[ent["entity_group"]] += 1
+        myEntityGroup = ent["entity_group"]
+        print("Found entity group type: " + myEntityGroup)
+
+        if (myEntityGroup in ['Sign_symptom', 'Detailed_description', 'History', 'Activity', 'Medication' ]):
+            eterm = ent["word"].replace('#','')
+            minlength = 3
+            if len(eterm) > minlength:
+                print("Found eterm: " + eterm)
+                eterm.replace("#","")
+                g1=MatchLOINC(eterm)
+                g2=MatchLOINCPanelsandForms(eterm)
+                g3=MatchSNOMED(eterm)
+                g4=MatchOMS(eterm)
+                g5=MatchICD10(eterm)
+                sAll = ""
+
+                print("Saving to output file " + outputFile)
+                # Create harmonisation output format of input to output code, name, Text
+
+                try: # 18 fields, output to labeled CSV dataset for results teaching on scored regret changes to action plan with data inputs
+                    col = "          1                            2            3         4            5                     6                    7                       8                   9              10                   11                         12       13               14                      15                  16                            17                    18                       19"
+                    
+                    #LOINC
+                    g11 = g1['LOINC_NUM'].to_string().replace(","," ").replace("\n"," ")
+                    g12 = g1['COMPONENT'].to_string().replace(","," ").replace("\n"," ")
+                    s1 = ("LOINC," + myEntityGroup + "," + eterm + ",questions of ," + g12 + "," + g11 + ", Label,Value, Label,Value, Label,Value  ")
+                    if g11 != 'Series([]  )': SaveResult(s1, outputFile)
+
+                    #LOINC Panels
+                    g21 = g2['Loinc'].to_string().replace(","," ").replace("\n"," ")
+                    g22 = g2['LoincName'].to_string().replace(","," ").replace("\n"," ")
+                    g23 = g2['ParentLoinc'].to_string().replace(","," ").replace("\n"," ")
+                    g24 = g2['ParentName'].to_string().replace(","," ").replace("\n"," ")
+                    # s2 = ("LOINC Panel," + myEntityGroup + "," + eterm + ",name of ," + g22 + "," + g21 + ", and Parent codes of ," + g23 + ", with Parent names of ," + g24 + ", Label,Value  ")
+                    s2 = ("LOINC Panel," + myEntityGroup + "," + eterm + ",name of ," + g22 + "," + g21 + "," + g24 + ", and Parent codes of ," + g23 + "," + ", Label,Value  ")
+                    if g21 != 'Series([]  )': SaveResult(s2, outputFile)
+
+                    #SNOMED
+                    g31 = g3['conceptId'].to_string().replace(","," ").replace("\n"," ").replace("\l"," ").replace("\r"," ")
+                    g32 = g3['term'].to_string().replace(","," ").replace("\n"," ").replace("\l"," ").replace("\r"," ")
+                    s3 = ("SNOMED Concept," + myEntityGroup + "," + eterm + ",terms of ," + g32 + "," + g31 + ", Label,Value, Label,Value, Label,Value  ")
+                    if g31 != 'Series([]  )': SaveResult(s3, outputFile)
+
+                    #OMS
+                    g41 = g4['Omaha Code'].to_string().replace(","," ").replace("\n"," ")
+                    g42 = g4['SNOMED CT concept ID'].to_string().replace(","," ").replace("\n"," ")
+                    g43 = g4['SNOMED CT'].to_string().replace(","," ").replace("\n"," ")
+                    g44 = g4['PR'].to_string().replace(","," ").replace("\n"," ")
+                    g45 = g4['S&S'].to_string().replace(","," ").replace("\n"," ")
+                    s4 = ("OMS," + myEntityGroup + "," + eterm + ",concepts of ," + g44 + "," + g45 + ", and SNOMED codes of ," + g43 + ", and OMS problem of ," + g42 + ", and OMS Sign Symptom of ," + g41)
+                    if g41 != 'Series([]  )': SaveResult(s4, outputFile)
+
+                    #ICD10
+                    g51 = g5['Code'].to_string().replace(","," ").replace("\n"," ")
+                    g52 = g5['Description'].to_string().replace(","," ").replace("\n"," ")
+                    s5 = ("ICD10," + myEntityGroup + "," + eterm + ",descriptions of ," + g52 + "," + g51 + ", Label,Value, Label,Value, Label,Value  ")
+                    if g51 != 'Series([]  )': SaveResult(s5, outputFile)
+
+                except ValueError as err:
+                    raise ValueError("Error in group by entity \n" + format_tb(err.__traceback__)[0] + err.args[0] + "\nEnd of error message.") from None
+
+    return outputFile
+
+
+def plot_to_figure(grouped):
+    fig = plt.figure()
+    plt.bar(x=list(grouped.keys()), height=list(grouped.values()))
+    plt.margins(0.2)
+    plt.subplots_adjust(bottom=0.4)
+    plt.xticks(rotation=90)
+    return fig
+
+
+def ner(text):
+    raw = pipe(text)
+    ner_content = {
+        "text": text,
+        "entities": [
+            {
+                "entity": x["entity_group"],
+                "word": x["word"],
+                "score": x["score"],
+                "start": x["start"],
+                "end": x["end"],
+            }
+            for x in raw
+        ],
+    }
+    
+    outputFile = group_by_entity(raw)
+    label = EXAMPLES.get(text, "Unknown")
+    outputDataframe = pd.read_csv(outputFile)
+    return (ner_content, outputDataframe, outputFile)
+
+demo = gr.Blocks()
+with demo:
+    gr.Markdown(
+    """
+    # 🩺⚕️NLP Clinical Ontology Biomedical NER 
+    """
+    )
+    input = gr.Textbox(label="Note text", value="")
+
+    with gr.Tab("Biomedical Entity Recognition"):
+        output=[
+            gr.HighlightedText(label="NER", combine_adjacent=True),
+            #gr.JSON(label="Entity Counts"),
+            #gr.Label(label="Rating"),
+            #gr.Plot(label="Bar"),
+            gr.Dataframe(label="Dataframe"),
+            gr.File(label="File"),
+        ]
+        examples=list(EXAMPLES.keys())  
+        gr.Examples(examples, inputs=input)
+        input.change(fn=ner, inputs=input, outputs=output)
+        
+    with gr.Tab("Clinical Terminology Resolution"):
+        with gr.Row(variant="compact"):
+            btnLOINC = gr.Button("LOINC")
+            btnPanels = gr.Button("Panels")
+            btnSNOMED = gr.Button("SNOMED")
+            btnOMS = gr.Button("OMS")
+            btnICD10 = gr.Button("ICD10")
+
+        examples=list(EXAMPLES.keys())  
+        gr.Examples(examples, inputs=input)
+        input.change(fn=ner, inputs=input, outputs=output)
+#layout="vertical"
+demo.launch(debug=True)

backup.app.py

@@ -0,0 +1,268 @@
+import gradio as gr
+import pandas as pd
+import json
+from collections import defaultdict
+
+# Create tokenizer for biomed model
+from transformers import pipeline, AutoTokenizer, AutoModelForTokenClassification
+tokenizer = AutoTokenizer.from_pretrained("d4data/biomedical-ner-all")    # https://huggingface.co/d4data/biomedical-ner-all?text=asthma
+model = AutoModelForTokenClassification.from_pretrained("d4data/biomedical-ner-all")
+pipe = pipeline("ner", model=model, tokenizer=tokenizer, aggregation_strategy="simple")
+
+# Matplotlib for entity graph
+import matplotlib.pyplot as plt
+plt.switch_backend("Agg")
+
+# Load examples from JSON
+import os 
+
+# Load terminology datasets:
+basedir = os.path.dirname(__file__)
+#dataLOINC = pd.read_csv(basedir + "\\" + f'LoincTableCore.csv')
+#dataPanels = pd.read_csv(basedir + "\\" + f'PanelsAndForms-ACW1208Labeled.csv')     
+#dataSNOMED = pd.read_csv(basedir + "\\" + f'sct2_TextDefinition_Full-en_US1000124_20220901.txt',sep='\t')   
+#dataOMS = pd.read_csv(basedir + "\\" + f'SnomedOMS.csv')   
+#dataICD10 = pd.read_csv(basedir + "\\" + f'ICD10Diagnosis.csv') 
+
+dataLOINC = pd.read_csv(f'LoincTableCore.csv')
+dataPanels = pd.read_csv(f'PanelsAndForms-ACW1208Labeled.csv')     
+dataSNOMED = pd.read_csv(f'sct2_TextDefinition_Full-en_US1000124_20220901.txt',sep='\t')   
+dataOMS = pd.read_csv(f'SnomedOMS.csv')   
+dataICD10 = pd.read_csv(f'ICD10Diagnosis.csv')   
+
+dir_path = os.path.dirname(os.path.realpath(__file__))
+EXAMPLES = {}
+#with open(dir_path + "\\" + "examples.json", "r") as f:
+with open("examples.json", "r") as f:
+    example_json = json.load(f)
+    EXAMPLES = {x["text"]: x["label"] for x in example_json}
+
+def MatchLOINC(name):
+    #basedir = os.path.dirname(__file__)
+    pd.set_option("display.max_rows", None)
+    #data = pd.read_csv(basedir + "\\" + f'LoincTableCore.csv')    
+    data = dataLOINC
+    swith=data.loc[data['COMPONENT'].str.contains(name, case=False, na=False)]
+    return swith
+    
+def MatchLOINCPanelsandForms(name):
+    #basedir = os.path.dirname(__file__)
+    #data = pd.read_csv(basedir + "\\" + f'PanelsAndForms-ACW1208Labeled.csv')     
+    data = dataPanels
+    # Assessment Name:
+    #swith=data.loc[data['ParentName'].str.contains(name, case=False, na=False)]
+    # Assessment Question:
+    swith=data.loc[data['LoincName'].str.contains(name, case=False, na=False)]
+    return swith
+    
+def MatchSNOMED(name):
+    #basedir = os.path.dirname(__file__)
+    #data = pd.read_csv(basedir + "\\" + f'sct2_TextDefinition_Full-en_US1000124_20220901.txt',sep='\t')   
+    data = dataSNOMED
+    swith=data.loc[data['term'].str.contains(name, case=False, na=False)]
+    return swith
+
+def MatchOMS(name):
+    #basedir = os.path.dirname(__file__)
+    #data = pd.read_csv(basedir + "\\" + f'SnomedOMS.csv')   
+    data = dataOMS
+    swith=data.loc[data['SNOMED CT'].str.contains(name, case=False, na=False)]
+    return swith
+
+def MatchICD10(name):
+    #basedir = os.path.dirname(__file__)
+    #data = pd.read_csv(basedir + "\\" + f'ICD10Diagnosis.csv')   
+    data = dataICD10
+    swith=data.loc[data['Description'].str.contains(name, case=False, na=False)]
+    return swith
+
+def SaveResult(text, outputfileName):
+    #try:
+    basedir = os.path.dirname(__file__)
+    savePath = outputfileName
+    print("Saving: " + text + " to " + savePath)
+    from os.path import exists
+    file_exists = exists(savePath)
+    if file_exists:
+        with open(outputfileName, "a") as f: #append
+            #for line in text:
+            f.write(str(text.replace("\n","  ")))
+            f.write('\n')
+    else:
+        with open(outputfileName, "w") as f: #write
+            #for line in text:
+            f.write(str(text.replace("\n","  ")))
+            f.write('\n')
+    #except ValueError as err:
+    #    raise ValueError("File Save Error in SaveResult \n" + format_tb(err.__traceback__)[0] + err.args[0] + "\nEnd of error message.") from None
+
+    return
+
+def loadFile(filename):
+    try:
+        basedir = os.path.dirname(__file__)
+        loadPath = basedir + "\\" + filename
+
+        print("Loading: " + loadPath)
+
+        from os.path import exists
+        file_exists = exists(loadPath)
+
+        if file_exists:
+            with open(loadPath, "r") as f: #read
+                contents = f.read()
+                print(contents)
+                return contents
+
+    except ValueError as err:
+        raise ValueError("File Save Error in SaveResult \n" + format_tb(err.__traceback__)[0] + err.args[0] + "\nEnd of error message.") from None
+
+    return ""
+
+def get_today_filename():
+    from datetime import datetime
+    date = datetime.now().strftime("%Y_%m_%d-%I.%M.%S.%p")
+    #print(f"filename_{date}")  'filename_2023_01_12-03-29-22_AM'
+    return f"MedNER_{date}.csv"
+
+def get_base(filename): 
+        basedir = os.path.dirname(__file__)
+        loadPath = basedir + "\\" + filename
+        #print("Loading: " + loadPath)
+        return loadPath
+
+def group_by_entity(raw):
+    outputFile = get_base(get_today_filename())
+    out = defaultdict(int)
+
+    for ent in raw:
+        out[ent["entity_group"]] += 1
+        myEntityGroup = ent["entity_group"]
+        print("Found entity group type: " + myEntityGroup)
+
+        if (myEntityGroup in ['Sign_symptom', 'Detailed_description', 'History', 'Activity', 'Medication' ]):
+            eterm = ent["word"].replace('#','')
+            minlength = 3
+            if len(eterm) > minlength:
+                print("Found eterm: " + eterm)
+                eterm.replace("#","")
+                g1=MatchLOINC(eterm)
+                g2=MatchLOINCPanelsandForms(eterm)
+                g3=MatchSNOMED(eterm)
+                g4=MatchOMS(eterm)
+                g5=MatchICD10(eterm)
+                sAll = ""
+
+                print("Saving to output file " + outputFile)
+                # Create harmonisation output format of input to output code, name, Text
+
+                try: # 18 fields, output to labeled CSV dataset for results teaching on scored regret changes to action plan with data inputs
+                    col = "          1                            2            3         4            5                     6                    7                       8                   9              10                   11                         12       13               14                      15                  16                            17                    18                       19"
+                    
+                    #LOINC
+                    g11 = g1['LOINC_NUM'].to_string().replace(","," ").replace("\n"," ")
+                    g12 = g1['COMPONENT'].to_string().replace(","," ").replace("\n"," ")
+                    s1 = ("LOINC," + myEntityGroup + "," + eterm + ",questions of ," + g12 + "," + g11 + ", Label,Value, Label,Value, Label,Value  ")
+                    if g11 != 'Series([]  )': SaveResult(s1, outputFile)
+
+                    #LOINC Panels
+                    g21 = g2['Loinc'].to_string().replace(","," ").replace("\n"," ")
+                    g22 = g2['LoincName'].to_string().replace(","," ").replace("\n"," ")
+                    g23 = g2['ParentLoinc'].to_string().replace(","," ").replace("\n"," ")
+                    g24 = g2['ParentName'].to_string().replace(","," ").replace("\n"," ")
+                    # s2 = ("LOINC Panel," + myEntityGroup + "," + eterm + ",name of ," + g22 + "," + g21 + ", and Parent codes of ," + g23 + ", with Parent names of ," + g24 + ", Label,Value  ")
+                    s2 = ("LOINC Panel," + myEntityGroup + "," + eterm + ",name of ," + g22 + "," + g21 + "," + g24 + ", and Parent codes of ," + g23 + "," + ", Label,Value  ")
+                    if g21 != 'Series([]  )': SaveResult(s2, outputFile)
+
+                    #SNOMED
+                    g31 = g3['conceptId'].to_string().replace(","," ").replace("\n"," ").replace("\l"," ").replace("\r"," ")
+                    g32 = g3['term'].to_string().replace(","," ").replace("\n"," ").replace("\l"," ").replace("\r"," ")
+                    s3 = ("SNOMED Concept," + myEntityGroup + "," + eterm + ",terms of ," + g32 + "," + g31 + ", Label,Value, Label,Value, Label,Value  ")
+                    if g31 != 'Series([]  )': SaveResult(s3, outputFile)
+
+                    #OMS
+                    g41 = g4['Omaha Code'].to_string().replace(","," ").replace("\n"," ")
+                    g42 = g4['SNOMED CT concept ID'].to_string().replace(","," ").replace("\n"," ")
+                    g43 = g4['SNOMED CT'].to_string().replace(","," ").replace("\n"," ")
+                    g44 = g4['PR'].to_string().replace(","," ").replace("\n"," ")
+                    g45 = g4['S&S'].to_string().replace(","," ").replace("\n"," ")
+                    s4 = ("OMS," + myEntityGroup + "," + eterm + ",concepts of ," + g44 + "," + g45 + ", and SNOMED codes of ," + g43 + ", and OMS problem of ," + g42 + ", and OMS Sign Symptom of ," + g41)
+                    if g41 != 'Series([]  )': SaveResult(s4, outputFile)
+
+                    #ICD10
+                    g51 = g5['Code'].to_string().replace(","," ").replace("\n"," ")
+                    g52 = g5['Description'].to_string().replace(","," ").replace("\n"," ")
+                    s5 = ("ICD10," + myEntityGroup + "," + eterm + ",descriptions of ," + g52 + "," + g51 + ", Label,Value, Label,Value, Label,Value  ")
+                    if g51 != 'Series([]  )': SaveResult(s5, outputFile)
+
+                except ValueError as err:
+                    raise ValueError("Error in group by entity \n" + format_tb(err.__traceback__)[0] + err.args[0] + "\nEnd of error message.") from None
+
+    return outputFile
+
+
+def plot_to_figure(grouped):
+    fig = plt.figure()
+    plt.bar(x=list(grouped.keys()), height=list(grouped.values()))
+    plt.margins(0.2)
+    plt.subplots_adjust(bottom=0.4)
+    plt.xticks(rotation=90)
+    return fig
+
+
+def ner(text):
+    raw = pipe(text)
+    ner_content = {
+        "text": text,
+        "entities": [
+            {
+                "entity": x["entity_group"],
+                "word": x["word"],
+                "score": x["score"],
+                "start": x["start"],
+                "end": x["end"],
+            }
+            for x in raw
+        ],
+    }
+    
+    outputFile = group_by_entity(raw)
+    label = EXAMPLES.get(text, "Unknown")
+    outputDataframe = pd.read_csv(outputFile)
+    return (ner_content, outputDataframe, outputFile)
+
+demo = gr.Blocks()
+with demo:
+    gr.Markdown(
+    """
+    # 🩺⚕️NLP Clinical Ontology Biomedical NER 
+    """
+    )
+    input = gr.Textbox(label="Note text", value="")
+
+    with gr.Tab("Biomedical Entity Recognition"):
+        output=[
+            gr.HighlightedText(label="NER", combine_adjacent=True),
+            #gr.JSON(label="Entity Counts"),
+            #gr.Label(label="Rating"),
+            #gr.Plot(label="Bar"),
+            gr.Dataframe(label="Dataframe"),
+            gr.File(label="File"),
+        ]
+        examples=list(EXAMPLES.keys())  
+        gr.Examples(examples, inputs=input)
+        input.change(fn=ner, inputs=input, outputs=output)
+        
+    with gr.Tab("Clinical Terminology Resolution"):
+        with gr.Row(variant="compact"):
+            btnLOINC = gr.Button("LOINC")
+            btnPanels = gr.Button("Panels")
+            btnSNOMED = gr.Button("SNOMED")
+            btnOMS = gr.Button("OMS")
+            btnICD10 = gr.Button("ICD10")
+
+        examples=list(EXAMPLES.keys())  
+        gr.Examples(examples, inputs=input)
+        input.change(fn=ner, inputs=input, outputs=output)
+#layout="vertical"
+demo.launch(debug=True)

examples.json

@@ -0,0 +1,18 @@
+[
+  {
+    "text": "In March and April the patient had two falls.  One was related to asthma, heart palpitations.  The second was due to syncope and post covid vaccination dizziness during exercise.  The patient is now getting an EKG.  Former EKG had shown that there was a bundle branch block.  Patient had some uncontrolled immune system reactions like anaphylaxis and shortness of breath.",
+    "label": 3
+  },
+  {
+    "text": "During the fertility engagement, there was alot of anxiety and we just felt depressed.  It was difficult but finally after nutrition advice and changing habits such as cutting out smoking and improving daily activities we felt less agitated.  Then our baby came.  When he was born in December he had some minor jaundice but nothing serious, yet we had problems sleeping.  Both of us felt so relieved to have had the help, and now that the baby doesn't cry all night, we feel less fatigue and can sleep through night.",
+    "label": 2
+  },
+  {
+    "text": "51 y/o male with history of skin cancer, asthma, allergic to NSAIDS, dogs, cats, mold.  Daily long distance swimming helped breathing problems.  COVID reactions were severe yet recovery was fastest when maintaining a healthy diet, low fat and chloresterol, as well as limiting sugar intake.",
+    "label": 0
+  },
+  {
+    "text": "SNOMEDCT 183452005 is an emergency hospital encounter.  CPT 99378 is an intervention with supervision of a hospice patient.  HCPCS T2046 Hospice long term care, room and board only; per diem.  LOINC for Care Plan Document Type is code 80748-7 - Clinical genetics Plan of care note.  LOINC Care Plan Document Type 80751-1 is a Dermatology Plan of care note.  ICD10CM M84.371A is a Stress fracture, right ankle, initial encounter for fracture which is a Condition/Diagnosis/Problem Lower Body Fracture.  The purpose of this value set is to represent concepts for a diagnosis of a fracture of a bone in the lower body.",
+    "label": 1
+  }
+]

requirements.txt

@@ -0,0 +1,71 @@
+aiohttp==3.8.3
+aiosignal==1.2.0
+anyio==3.6.1
+async-timeout==4.0.2
+attrs==22.1.0
+bcrypt==4.0.1
+black==22.10.0
+certifi==2022.9.24
+cffi==1.15.1
+charset-normalizer==2.1.1
+click==8.1.3
+contourpy==1.0.5
+cryptography==38.0.1
+cycler==0.11.0
+fastapi==0.85.0
+ffmpy==0.3.0
+filelock==3.8.0
+fonttools==4.37.4
+frozenlist==1.3.1
+fsspec==2022.8.2
+gradio==3.4.1
+h11==0.12.0
+httpcore==0.15.0
+httpx==0.23.0
+huggingface-hub==0.10.0
+idna==3.4
+Jinja2==3.1.2
+kiwisolver==1.4.4
+linkify-it-py==1.0.3
+markdown-it-py==2.1.0
+MarkupSafe==2.1.1
+matplotlib==3.6.1
+mdit-py-plugins==0.3.1
+mdurl==0.1.2
+multidict==6.0.2
+mypy-extensions==0.4.3
+numpy==1.23.3
+orjson==3.8.0
+packaging==21.3
+pandas==1.5.0
+paramiko==2.11.0
+pathspec==0.10.1
+Pillow==9.2.0
+platformdirs==2.5.2
+pycparser==2.21
+pycryptodome==3.15.0
+pydantic==1.10.2
+pydub==0.25.1
+PyNaCl==1.5.0
+pyparsing==3.0.9
+python-dateutil==2.8.2
+python-multipart==0.0.5
+pytz==2022.4
+PyYAML==6.0
+regex==2022.9.13
+requests==2.28.1
+rfc3986==1.5.0
+six==1.16.0
+sniffio==1.3.0
+starlette==0.20.4
+tokenizers==0.12.1
+tomli==2.0.1
+torch==1.12.1
+tqdm==4.64.1
+transformers==4.22.2
+typing_extensions==4.4.0
+uc-micro-py==1.0.1
+urllib3==1.26.12
+uvicorn==0.18.3
+websockets==10.3
+yarl==1.8.1