1sf/bird-sql-train-with-schema huggingface dataset:
Database: synthea
Tables: all_prevalences, patients, encounters, allergies, careplans, conditions, immunizations, medications, observations, procedures, claims
Columns (table index, column name): -1, *, 0, ITEM, 0, POPULATION TYPE, 0, OCCURRENCES, 0, POPULATION COUNT, 0, PREVALENCE RATE, 0, PREVALENCE PERCENTAGE, 1, patient, 1, birthdate, 1, deathdate, 1, ssn, 1, drivers, 1, passport, 1, prefix, 1, first, 1, last, 1, suffix, 1, maiden, 1, marital, 1, race, 1, ethnicity, 1, gender, 1, birthplace, 1, address, 2, ID, 2, DATE, 2, PATIENT, 2, CODE, 2, DESCRIPTION, 2, REASONCODE, 2, REASONDESCRIPTION, 3, START, 3, STOP, 3, PATIENT, 3, ENCOUNTER, 3, CODE, 3, DESCRIPTION, 4, ID, 4, START, 4, STOP, 4, PATIENT, 4, ENCOUNTER, 4, CODE, 4, DESCRIPTION, 4, REASONCODE, 4, REASONDESCRIPTION, 5, START, 5, STOP, 5, PATIENT, 5, ENCOUNTER, 5, CODE, 5, DESCRIPTION, 6, DATE, 6, PATIENT, 6, ENCOUNTER, 6, CODE, 6, DESCRIPTION, 7, START, 7, STOP, 7, PATIENT, 7, ENCOUNTER, 7, CODE, 7, DESCRIPTION, 7, REASONCODE, 7, REASONDESCRIPTION, 8, DATE, 8, PATIENT, 8, ENCOUNTER, 8, CODE, 8, DESCRIPTION, 8, VALUE, 8, UNITS, 9, DATE, 9, PATIENT, 9, ENCOUNTER, 9, CODE, 9, DESCRIPTION, 9, REASONCODE, 9, REASONDESCRIPTION, 10, ID, 10, PATIENT, 10, BILLABLEPERIOD, 10, ORGANIZATION, 10, ENCOUNTER, 10, DIAGNOSIS, 10, TOTAL
Question: Describe the care plans of patient Major D'Amore's plan of care.
SQL: SELECT DISTINCT T2.DESCRIPTION FROM patients AS T1 INNER JOIN careplans AS T2 ON T1.patient = T2.PATIENT WHERE T1.first = 'Major' AND T1.last = 'D''Amore'
Database: synthea
Tables: all_prevalences, patients, encounters, allergies, careplans, conditions, immunizations, medications, observations, procedures, claims
Columns (table index, column name): -1, *, 0, ITEM, 0, POPULATION TYPE, 0, OCCURRENCES, 0, POPULATION COUNT, 0, PREVALENCE RATE, 0, PREVALENCE PERCENTAGE, 1, patient, 1, birthdate, 1, deathdate, 1, ssn, 1, drivers, 1, passport, 1, prefix, 1, first, 1, last, 1, suffix, 1, maiden, 1, marital, 1, race, 1, ethnicity, 1, gender, 1, birthplace, 1, address, 2, ID, 2, DATE, 2, PATIENT, 2, CODE, 2, DESCRIPTION, 2, REASONCODE, 2, REASONDESCRIPTION, 3, START, 3, STOP, 3, PATIENT, 3, ENCOUNTER, 3, CODE, 3, DESCRIPTION, 4, ID, 4, START, 4, STOP, 4, PATIENT, 4, ENCOUNTER, 4, CODE, 4, DESCRIPTION, 4, REASONCODE, 4, REASONDESCRIPTION, 5, START, 5, STOP, 5, PATIENT, 5, ENCOUNTER, 5, CODE, 5, DESCRIPTION, 6, DATE, 6, PATIENT, 6, ENCOUNTER, 6, CODE, 6, DESCRIPTION, 7, START, 7, STOP, 7, PATIENT, 7, ENCOUNTER, 7, CODE, 7, DESCRIPTION, 7, REASONCODE, 7, REASONDESCRIPTION, 8, DATE, 8, PATIENT, 8, ENCOUNTER, 8, CODE, 8, DESCRIPTION, 8, VALUE, 8, UNITS, 9, DATE, 9, PATIENT, 9, ENCOUNTER, 9, CODE, 9, DESCRIPTION, 9, REASONCODE, 9, REASONDESCRIPTION, 10, ID, 10, PATIENT, 10, BILLABLEPERIOD, 10, ORGANIZATION, 10, ENCOUNTER, 10, DIAGNOSIS, 10, TOTAL
Question: Calculate the percentage of male patients with viral sinusitis condition.
Evidence: percentage = MULTIPLY(DIVIDE(COUNT(patients.patient WHERE gender = 'M'), COUNT(patients.patient) WHERE conditions.DESCRIPTION = 'Viral sinusitis (disorder))), 100); male patients refers to gender = 'M'; viral sinusitis condition refers to conditions.DESCRIPTION = 'Viral sinusitis (disorder)';
SQL: SELECT CAST(SUM(CASE WHEN T1.gender = 'M' THEN 1 ELSE 0 END) AS REAL) * 100 / COUNT(T1.patient) FROM patients AS T1 INNER JOIN conditions AS T2 ON T1.patient = T2.PATIENT WHERE T2.DESCRIPTION = 'Viral sinusitis (disorder)'
Database: synthea
Tables: all_prevalences, patients, encounters, allergies, careplans, conditions, immunizations, medications, observations, procedures, claims
Columns (table index, column name): -1, *, 0, ITEM, 0, POPULATION TYPE, 0, OCCURRENCES, 0, POPULATION COUNT, 0, PREVALENCE RATE, 0, PREVALENCE PERCENTAGE, 1, patient, 1, birthdate, 1, deathdate, 1, ssn, 1, drivers, 1, passport, 1, prefix, 1, first, 1, last, 1, suffix, 1, maiden, 1, marital, 1, race, 1, ethnicity, 1, gender, 1, birthplace, 1, address, 2, ID, 2, DATE, 2, PATIENT, 2, CODE, 2, DESCRIPTION, 2, REASONCODE, 2, REASONDESCRIPTION, 3, START, 3, STOP, 3, PATIENT, 3, ENCOUNTER, 3, CODE, 3, DESCRIPTION, 4, ID, 4, START, 4, STOP, 4, PATIENT, 4, ENCOUNTER, 4, CODE, 4, DESCRIPTION, 4, REASONCODE, 4, REASONDESCRIPTION, 5, START, 5, STOP, 5, PATIENT, 5, ENCOUNTER, 5, CODE, 5, DESCRIPTION, 6, DATE, 6, PATIENT, 6, ENCOUNTER, 6, CODE, 6, DESCRIPTION, 7, START, 7, STOP, 7, PATIENT, 7, ENCOUNTER, 7, CODE, 7, DESCRIPTION, 7, REASONCODE, 7, REASONDESCRIPTION, 8, DATE, 8, PATIENT, 8, ENCOUNTER, 8, CODE, 8, DESCRIPTION, 8, VALUE, 8, UNITS, 9, DATE, 9, PATIENT, 9, ENCOUNTER, 9, CODE, 9, DESCRIPTION, 9, REASONCODE, 9, REASONDESCRIPTION, 10, ID, 10, PATIENT, 10, BILLABLEPERIOD, 10, ORGANIZATION, 10, ENCOUNTER, 10, DIAGNOSIS, 10, TOTAL
Question: Among the patients who have been using Penicillin V Potassium 250 MG, what percentage of patients are female?
Evidence: Penicillin V Potassium 250 MG refers to medications.DESCRIPTION = 'Penicillin V Potassium 250 MG'; percentage = MULTIPLY(DIVIDE(patients.patient WHERE gender = 'F'), COUNT(patients.patient) WHERE medications.DESCRIPTION = 'Penicillin V Potassium 250 MG'), 100) female refers to gender = 'F';
SQL: SELECT CAST(SUM(CASE WHEN T1.gender = 'F' THEN 1 ELSE 0 END) AS REAL) * 100 / COUNT(T1.patient) FROM patients AS T1 INNER JOIN medications AS T2 ON T1.patient = T2.PATIENT WHERE T2.DESCRIPTION = 'Penicillin V Potassium 250 MG'
Database: synthea
Tables: all_prevalences, patients, encounters, allergies, careplans, conditions, immunizations, medications, observations, procedures, claims
Columns (table index, column name): -1, *, 0, ITEM, 0, POPULATION TYPE, 0, OCCURRENCES, 0, POPULATION COUNT, 0, PREVALENCE RATE, 0, PREVALENCE PERCENTAGE, 1, patient, 1, birthdate, 1, deathdate, 1, ssn, 1, drivers, 1, passport, 1, prefix, 1, first, 1, last, 1, suffix, 1, maiden, 1, marital, 1, race, 1, ethnicity, 1, gender, 1, birthplace, 1, address, 2, ID, 2, DATE, 2, PATIENT, 2, CODE, 2, DESCRIPTION, 2, REASONCODE, 2, REASONDESCRIPTION, 3, START, 3, STOP, 3, PATIENT, 3, ENCOUNTER, 3, CODE, 3, DESCRIPTION, 4, ID, 4, START, 4, STOP, 4, PATIENT, 4, ENCOUNTER, 4, CODE, 4, DESCRIPTION, 4, REASONCODE, 4, REASONDESCRIPTION, 5, START, 5, STOP, 5, PATIENT, 5, ENCOUNTER, 5, CODE, 5, DESCRIPTION, 6, DATE, 6, PATIENT, 6, ENCOUNTER, 6, CODE, 6, DESCRIPTION, 7, START, 7, STOP, 7, PATIENT, 7, ENCOUNTER, 7, CODE, 7, DESCRIPTION, 7, REASONCODE, 7, REASONDESCRIPTION, 8, DATE, 8, PATIENT, 8, ENCOUNTER, 8, CODE, 8, DESCRIPTION, 8, VALUE, 8, UNITS, 9, DATE, 9, PATIENT, 9, ENCOUNTER, 9, CODE, 9, DESCRIPTION, 9, REASONCODE, 9, REASONDESCRIPTION, 10, ID, 10, PATIENT, 10, BILLABLEPERIOD, 10, ORGANIZATION, 10, ENCOUNTER, 10, DIAGNOSIS, 10, TOTAL
Question: Among the white patients, what is the average body height of the patients?
Evidence: white refers to race = 'white'; average body height = AVG(observations.VALUE WHERE observations.DESCRIPTION = 'Body Height'); body height refers to observations.DESCRIPTION = 'Body Height';
SQL: SELECT AVG(T1.VALUE) FROM observations AS T1 INNER JOIN patients AS T2 ON T1.PATIENT = T2.patient WHERE T2.race = 'white' AND T1.DESCRIPTION = 'Body Height'
Database: synthea
Tables: all_prevalences, patients, encounters, allergies, careplans, conditions, immunizations, medications, observations, procedures, claims
Columns (table index, column name): -1, *, 0, ITEM, 0, POPULATION TYPE, 0, OCCURRENCES, 0, POPULATION COUNT, 0, PREVALENCE RATE, 0, PREVALENCE PERCENTAGE, 1, patient, 1, birthdate, 1, deathdate, 1, ssn, 1, drivers, 1, passport, 1, prefix, 1, first, 1, last, 1, suffix, 1, maiden, 1, marital, 1, race, 1, ethnicity, 1, gender, 1, birthplace, 1, address, 2, ID, 2, DATE, 2, PATIENT, 2, CODE, 2, DESCRIPTION, 2, REASONCODE, 2, REASONDESCRIPTION, 3, START, 3, STOP, 3, PATIENT, 3, ENCOUNTER, 3, CODE, 3, DESCRIPTION, 4, ID, 4, START, 4, STOP, 4, PATIENT, 4, ENCOUNTER, 4, CODE, 4, DESCRIPTION, 4, REASONCODE, 4, REASONDESCRIPTION, 5, START, 5, STOP, 5, PATIENT, 5, ENCOUNTER, 5, CODE, 5, DESCRIPTION, 6, DATE, 6, PATIENT, 6, ENCOUNTER, 6, CODE, 6, DESCRIPTION, 7, START, 7, STOP, 7, PATIENT, 7, ENCOUNTER, 7, CODE, 7, DESCRIPTION, 7, REASONCODE, 7, REASONDESCRIPTION, 8, DATE, 8, PATIENT, 8, ENCOUNTER, 8, CODE, 8, DESCRIPTION, 8, VALUE, 8, UNITS, 9, DATE, 9, PATIENT, 9, ENCOUNTER, 9, CODE, 9, DESCRIPTION, 9, REASONCODE, 9, REASONDESCRIPTION, 10, ID, 10, PATIENT, 10, BILLABLEPERIOD, 10, ORGANIZATION, 10, ENCOUNTER, 10, DIAGNOSIS, 10, TOTAL
Question: Indicate the care plan needed for the patient living at 179 Sydni Roads, Taunton, MA 02780 US.
Evidence: living at 179 Sydni Roads, Taunton, MA 02780 US refers to address = '179 Sydni Roads Taunton MA 02780 US';
SQL: SELECT T1.DESCRIPTION FROM careplans AS T1 INNER JOIN patients AS T2 ON T1.PATIENT = T2.patient WHERE T2.address = '179 Sydni Roads Taunton MA 02780 US'
Database: synthea
Tables: all_prevalences, patients, encounters, allergies, careplans, conditions, immunizations, medications, observations, procedures, claims
Columns (table index, column name): -1, *, 0, ITEM, 0, POPULATION TYPE, 0, OCCURRENCES, 0, POPULATION COUNT, 0, PREVALENCE RATE, 0, PREVALENCE PERCENTAGE, 1, patient, 1, birthdate, 1, deathdate, 1, ssn, 1, drivers, 1, passport, 1, prefix, 1, first, 1, last, 1, suffix, 1, maiden, 1, marital, 1, race, 1, ethnicity, 1, gender, 1, birthplace, 1, address, 2, ID, 2, DATE, 2, PATIENT, 2, CODE, 2, DESCRIPTION, 2, REASONCODE, 2, REASONDESCRIPTION, 3, START, 3, STOP, 3, PATIENT, 3, ENCOUNTER, 3, CODE, 3, DESCRIPTION, 4, ID, 4, START, 4, STOP, 4, PATIENT, 4, ENCOUNTER, 4, CODE, 4, DESCRIPTION, 4, REASONCODE, 4, REASONDESCRIPTION, 5, START, 5, STOP, 5, PATIENT, 5, ENCOUNTER, 5, CODE, 5, DESCRIPTION, 6, DATE, 6, PATIENT, 6, ENCOUNTER, 6, CODE, 6, DESCRIPTION, 7, START, 7, STOP, 7, PATIENT, 7, ENCOUNTER, 7, CODE, 7, DESCRIPTION, 7, REASONCODE, 7, REASONDESCRIPTION, 8, DATE, 8, PATIENT, 8, ENCOUNTER, 8, CODE, 8, DESCRIPTION, 8, VALUE, 8, UNITS, 9, DATE, 9, PATIENT, 9, ENCOUNTER, 9, CODE, 9, DESCRIPTION, 9, REASONCODE, 9, REASONDESCRIPTION, 10, ID, 10, PATIENT, 10, BILLABLEPERIOD, 10, ORGANIZATION, 10, ENCOUNTER, 10, DIAGNOSIS, 10, TOTAL
Question: Provide the allergen of the Dominican patient named Dirk Languish.
Evidence: allergen refers to allergies.DESCRIPTION;
SQL: SELECT T1.DESCRIPTION FROM allergies AS T1 INNER JOIN patients AS T2 ON T1.PATIENT = T2.patient WHERE T2.first = 'Dirk' AND T2.last = 'Langosh' AND T2.ethnicity = 'dominican'
Database: synthea
Tables: all_prevalences, patients, encounters, allergies, careplans, conditions, immunizations, medications, observations, procedures, claims
Columns (table index, column name): -1, *, 0, ITEM, 0, POPULATION TYPE, 0, OCCURRENCES, 0, POPULATION COUNT, 0, PREVALENCE RATE, 0, PREVALENCE PERCENTAGE, 1, patient, 1, birthdate, 1, deathdate, 1, ssn, 1, drivers, 1, passport, 1, prefix, 1, first, 1, last, 1, suffix, 1, maiden, 1, marital, 1, race, 1, ethnicity, 1, gender, 1, birthplace, 1, address, 2, ID, 2, DATE, 2, PATIENT, 2, CODE, 2, DESCRIPTION, 2, REASONCODE, 2, REASONDESCRIPTION, 3, START, 3, STOP, 3, PATIENT, 3, ENCOUNTER, 3, CODE, 3, DESCRIPTION, 4, ID, 4, START, 4, STOP, 4, PATIENT, 4, ENCOUNTER, 4, CODE, 4, DESCRIPTION, 4, REASONCODE, 4, REASONDESCRIPTION, 5, START, 5, STOP, 5, PATIENT, 5, ENCOUNTER, 5, CODE, 5, DESCRIPTION, 6, DATE, 6, PATIENT, 6, ENCOUNTER, 6, CODE, 6, DESCRIPTION, 7, START, 7, STOP, 7, PATIENT, 7, ENCOUNTER, 7, CODE, 7, DESCRIPTION, 7, REASONCODE, 7, REASONDESCRIPTION, 8, DATE, 8, PATIENT, 8, ENCOUNTER, 8, CODE, 8, DESCRIPTION, 8, VALUE, 8, UNITS, 9, DATE, 9, PATIENT, 9, ENCOUNTER, 9, CODE, 9, DESCRIPTION, 9, REASONCODE, 9, REASONDESCRIPTION, 10, ID, 10, PATIENT, 10, BILLABLEPERIOD, 10, ORGANIZATION, 10, ENCOUNTER, 10, DIAGNOSIS, 10, TOTAL
Question: How many patients who are allergic to peanuts have asthma?
Evidence: allergic to peanuts refers to allergies.DESCRIPTION = 'Allergy to peanuts'; asthma refers to conditions.DESCRIPTION = 'Asthma';
SQL: SELECT COUNT(DISTINCT T2.patient) FROM conditions AS T1 INNER JOIN patients AS T2 ON T1.PATIENT = T2.patient INNER JOIN allergies AS T3 ON T2.patient = T3.PATIENT WHERE T1.DESCRIPTION = 'Asthma' AND T3.DESCRIPTION = 'Allergy to peanuts'
Database: synthea
Tables: all_prevalences, patients, encounters, allergies, careplans, conditions, immunizations, medications, observations, procedures, claims
Columns (table index, column name): -1, *, 0, ITEM, 0, POPULATION TYPE, 0, OCCURRENCES, 0, POPULATION COUNT, 0, PREVALENCE RATE, 0, PREVALENCE PERCENTAGE, 1, patient, 1, birthdate, 1, deathdate, 1, ssn, 1, drivers, 1, passport, 1, prefix, 1, first, 1, last, 1, suffix, 1, maiden, 1, marital, 1, race, 1, ethnicity, 1, gender, 1, birthplace, 1, address, 2, ID, 2, DATE, 2, PATIENT, 2, CODE, 2, DESCRIPTION, 2, REASONCODE, 2, REASONDESCRIPTION, 3, START, 3, STOP, 3, PATIENT, 3, ENCOUNTER, 3, CODE, 3, DESCRIPTION, 4, ID, 4, START, 4, STOP, 4, PATIENT, 4, ENCOUNTER, 4, CODE, 4, DESCRIPTION, 4, REASONCODE, 4, REASONDESCRIPTION, 5, START, 5, STOP, 5, PATIENT, 5, ENCOUNTER, 5, CODE, 5, DESCRIPTION, 6, DATE, 6, PATIENT, 6, ENCOUNTER, 6, CODE, 6, DESCRIPTION, 7, START, 7, STOP, 7, PATIENT, 7, ENCOUNTER, 7, CODE, 7, DESCRIPTION, 7, REASONCODE, 7, REASONDESCRIPTION, 8, DATE, 8, PATIENT, 8, ENCOUNTER, 8, CODE, 8, DESCRIPTION, 8, VALUE, 8, UNITS, 9, DATE, 9, PATIENT, 9, ENCOUNTER, 9, CODE, 9, DESCRIPTION, 9, REASONCODE, 9, REASONDESCRIPTION, 10, ID, 10, PATIENT, 10, BILLABLEPERIOD, 10, ORGANIZATION, 10, ENCOUNTER, 10, DIAGNOSIS, 10, TOTAL
Question: Who is the 44-year-old patient diagnosed with drug overdose?
Evidence: 44-year-old = DIVIDE(SUBTRACT(julianday(conditions.START), julianday(patients.birthdate)), 365, 0) = 44;
SQL: SELECT T2.first, T2.last FROM conditions AS T1 INNER JOIN patients AS T2 ON T1.PATIENT = T2.patient WHERE T1.DESCRIPTION = 'Drug overdose' AND ROUND((strftime('%J', T2.deathdate) - strftime('%J', T2.birthdate)) / 365) = 44
Database: synthea
Tables: all_prevalences, patients, encounters, allergies, careplans, conditions, immunizations, medications, observations, procedures, claims
Columns (table index, column name): -1, *, 0, ITEM, 0, POPULATION TYPE, 0, OCCURRENCES, 0, POPULATION COUNT, 0, PREVALENCE RATE, 0, PREVALENCE PERCENTAGE, 1, patient, 1, birthdate, 1, deathdate, 1, ssn, 1, drivers, 1, passport, 1, prefix, 1, first, 1, last, 1, suffix, 1, maiden, 1, marital, 1, race, 1, ethnicity, 1, gender, 1, birthplace, 1, address, 2, ID, 2, DATE, 2, PATIENT, 2, CODE, 2, DESCRIPTION, 2, REASONCODE, 2, REASONDESCRIPTION, 3, START, 3, STOP, 3, PATIENT, 3, ENCOUNTER, 3, CODE, 3, DESCRIPTION, 4, ID, 4, START, 4, STOP, 4, PATIENT, 4, ENCOUNTER, 4, CODE, 4, DESCRIPTION, 4, REASONCODE, 4, REASONDESCRIPTION, 5, START, 5, STOP, 5, PATIENT, 5, ENCOUNTER, 5, CODE, 5, DESCRIPTION, 6, DATE, 6, PATIENT, 6, ENCOUNTER, 6, CODE, 6, DESCRIPTION, 7, START, 7, STOP, 7, PATIENT, 7, ENCOUNTER, 7, CODE, 7, DESCRIPTION, 7, REASONCODE, 7, REASONDESCRIPTION, 8, DATE, 8, PATIENT, 8, ENCOUNTER, 8, CODE, 8, DESCRIPTION, 8, VALUE, 8, UNITS, 9, DATE, 9, PATIENT, 9, ENCOUNTER, 9, CODE, 9, DESCRIPTION, 9, REASONCODE, 9, REASONDESCRIPTION, 10, ID, 10, PATIENT, 10, BILLABLEPERIOD, 10, ORGANIZATION, 10, ENCOUNTER, 10, DIAGNOSIS, 10, TOTAL
Question: Provide the social security number of the patient with the highest systolic blood pressure.
Evidence: social security number refers to ssn; highest systolic blood pressure refers to MAX(observations.VALUE WHERE observations.DESCRIPTION = 'Systolic Blood Pressure');
SQL: SELECT T2.ssn FROM observations AS T1 INNER JOIN patients AS T2 ON T1.PATIENT = T2.patient WHERE T1.DESCRIPTION = 'Systolic Blood Pressure' ORDER BY T1.VALUE DESC LIMIT 1
Database: synthea
Tables: all_prevalences, patients, encounters, allergies, careplans, conditions, immunizations, medications, observations, procedures, claims
Columns (table index, column name): -1, *, 0, ITEM, 0, POPULATION TYPE, 0, OCCURRENCES, 0, POPULATION COUNT, 0, PREVALENCE RATE, 0, PREVALENCE PERCENTAGE, 1, patient, 1, birthdate, 1, deathdate, 1, ssn, 1, drivers, 1, passport, 1, prefix, 1, first, 1, last, 1, suffix, 1, maiden, 1, marital, 1, race, 1, ethnicity, 1, gender, 1, birthplace, 1, address, 2, ID, 2, DATE, 2, PATIENT, 2, CODE, 2, DESCRIPTION, 2, REASONCODE, 2, REASONDESCRIPTION, 3, START, 3, STOP, 3, PATIENT, 3, ENCOUNTER, 3, CODE, 3, DESCRIPTION, 4, ID, 4, START, 4, STOP, 4, PATIENT, 4, ENCOUNTER, 4, CODE, 4, DESCRIPTION, 4, REASONCODE, 4, REASONDESCRIPTION, 5, START, 5, STOP, 5, PATIENT, 5, ENCOUNTER, 5, CODE, 5, DESCRIPTION, 6, DATE, 6, PATIENT, 6, ENCOUNTER, 6, CODE, 6, DESCRIPTION, 7, START, 7, STOP, 7, PATIENT, 7, ENCOUNTER, 7, CODE, 7, DESCRIPTION, 7, REASONCODE, 7, REASONDESCRIPTION, 8, DATE, 8, PATIENT, 8, ENCOUNTER, 8, CODE, 8, DESCRIPTION, 8, VALUE, 8, UNITS, 9, DATE, 9, PATIENT, 9, ENCOUNTER, 9, CODE, 9, DESCRIPTION, 9, REASONCODE, 9, REASONDESCRIPTION, 10, ID, 10, PATIENT, 10, BILLABLEPERIOD, 10, ORGANIZATION, 10, ENCOUNTER, 10, DIAGNOSIS, 10, TOTAL
Question: What is the care plan description of the prevalent disease with the highest prevalence percentage?
Evidence: highest prevalence percentage refers to MAX(PREVALENCE PERCENTAGE);
SQL: SELECT T4.DESCRIPTION FROM all_prevalences AS T1 INNER JOIN conditions AS T2 ON T2.DESCRIPTION = T1.ITEM INNER JOIN encounters AS T3 ON T2.ENCOUNTER = T3.ID INNER JOIN careplans AS T4 ON T4.ENCOUNTER = T3.ID ORDER BY T1."PREVALENCE PERCENTAGE" DESC LIMIT 1
Database: synthea
Tables: all_prevalences, patients, encounters, allergies, careplans, conditions, immunizations, medications, observations, procedures, claims
Columns (table index, column name): -1, *, 0, ITEM, 0, POPULATION TYPE, 0, OCCURRENCES, 0, POPULATION COUNT, 0, PREVALENCE RATE, 0, PREVALENCE PERCENTAGE, 1, patient, 1, birthdate, 1, deathdate, 1, ssn, 1, drivers, 1, passport, 1, prefix, 1, first, 1, last, 1, suffix, 1, maiden, 1, marital, 1, race, 1, ethnicity, 1, gender, 1, birthplace, 1, address, 2, ID, 2, DATE, 2, PATIENT, 2, CODE, 2, DESCRIPTION, 2, REASONCODE, 2, REASONDESCRIPTION, 3, START, 3, STOP, 3, PATIENT, 3, ENCOUNTER, 3, CODE, 3, DESCRIPTION, 4, ID, 4, START, 4, STOP, 4, PATIENT, 4, ENCOUNTER, 4, CODE, 4, DESCRIPTION, 4, REASONCODE, 4, REASONDESCRIPTION, 5, START, 5, STOP, 5, PATIENT, 5, ENCOUNTER, 5, CODE, 5, DESCRIPTION, 6, DATE, 6, PATIENT, 6, ENCOUNTER, 6, CODE, 6, DESCRIPTION, 7, START, 7, STOP, 7, PATIENT, 7, ENCOUNTER, 7, CODE, 7, DESCRIPTION, 7, REASONCODE, 7, REASONDESCRIPTION, 8, DATE, 8, PATIENT, 8, ENCOUNTER, 8, CODE, 8, DESCRIPTION, 8, VALUE, 8, UNITS, 9, DATE, 9, PATIENT, 9, ENCOUNTER, 9, CODE, 9, DESCRIPTION, 9, REASONCODE, 9, REASONDESCRIPTION, 10, ID, 10, PATIENT, 10, BILLABLEPERIOD, 10, ORGANIZATION, 10, ENCOUNTER, 10, DIAGNOSIS, 10, TOTAL
Question: What is the care plan for the patient with social security number 999-15-3685?
Evidence: social security number refers to ssn; ssn = '999-15-3685';
SQL: SELECT DISTINCT T1.DESCRIPTION FROM careplans AS T1 INNER JOIN patients AS T2 ON T1.PATIENT = T2.patient WHERE T2.ssn = '999-15-3685'
Database: synthea
Tables: all_prevalences, patients, encounters, allergies, careplans, conditions, immunizations, medications, observations, procedures, claims
Columns (table index, column name): -1, *, 0, ITEM, 0, POPULATION TYPE, 0, OCCURRENCES, 0, POPULATION COUNT, 0, PREVALENCE RATE, 0, PREVALENCE PERCENTAGE, 1, patient, 1, birthdate, 1, deathdate, 1, ssn, 1, drivers, 1, passport, 1, prefix, 1, first, 1, last, 1, suffix, 1, maiden, 1, marital, 1, race, 1, ethnicity, 1, gender, 1, birthplace, 1, address, 2, ID, 2, DATE, 2, PATIENT, 2, CODE, 2, DESCRIPTION, 2, REASONCODE, 2, REASONDESCRIPTION, 3, START, 3, STOP, 3, PATIENT, 3, ENCOUNTER, 3, CODE, 3, DESCRIPTION, 4, ID, 4, START, 4, STOP, 4, PATIENT, 4, ENCOUNTER, 4, CODE, 4, DESCRIPTION, 4, REASONCODE, 4, REASONDESCRIPTION, 5, START, 5, STOP, 5, PATIENT, 5, ENCOUNTER, 5, CODE, 5, DESCRIPTION, 6, DATE, 6, PATIENT, 6, ENCOUNTER, 6, CODE, 6, DESCRIPTION, 7, START, 7, STOP, 7, PATIENT, 7, ENCOUNTER, 7, CODE, 7, DESCRIPTION, 7, REASONCODE, 7, REASONDESCRIPTION, 8, DATE, 8, PATIENT, 8, ENCOUNTER, 8, CODE, 8, DESCRIPTION, 8, VALUE, 8, UNITS, 9, DATE, 9, PATIENT, 9, ENCOUNTER, 9, CODE, 9, DESCRIPTION, 9, REASONCODE, 9, REASONDESCRIPTION, 10, ID, 10, PATIENT, 10, BILLABLEPERIOD, 10, ORGANIZATION, 10, ENCOUNTER, 10, DIAGNOSIS, 10, TOTAL
Question: Calculate the average age of the male patients that have hypertension.
Evidence: average age = AVG(DIVIDE(SUBTRACT(deathdate is null WHERE (julianday(substr(datetime('now'), 1, 10)))), julianday(patients.birthdate)), 365); male refers to gender = 'M'; hypertension refers to conditions.DESCRIPTION = 'Hypertension'
SQL: SELECT SUM(CASE WHEN T2.deathdate IS NULL THEN ROUND((strftime('%J', date('now')) - strftime('%J', T2.birthdate)) / 365) ELSE ROUND((strftime('%J', T2.deathdate) - strftime('%J', T2.birthdate)) / 365) END) / COUNT(T2.patient) FROM conditions AS T1 INNER JOIN patients AS T2 ON T1.PATIENT = T2.patient WHERE T1.DESCRIPTION = 'Hypertension' AND T2.gender = 'M'
Database: synthea
Tables: all_prevalences, patients, encounters, allergies, careplans, conditions, immunizations, medications, observations, procedures, claims
Columns (table index, column name): -1, *, 0, ITEM, 0, POPULATION TYPE, 0, OCCURRENCES, 0, POPULATION COUNT, 0, PREVALENCE RATE, 0, PREVALENCE PERCENTAGE, 1, patient, 1, birthdate, 1, deathdate, 1, ssn, 1, drivers, 1, passport, 1, prefix, 1, first, 1, last, 1, suffix, 1, maiden, 1, marital, 1, race, 1, ethnicity, 1, gender, 1, birthplace, 1, address, 2, ID, 2, DATE, 2, PATIENT, 2, CODE, 2, DESCRIPTION, 2, REASONCODE, 2, REASONDESCRIPTION, 3, START, 3, STOP, 3, PATIENT, 3, ENCOUNTER, 3, CODE, 3, DESCRIPTION, 4, ID, 4, START, 4, STOP, 4, PATIENT, 4, ENCOUNTER, 4, CODE, 4, DESCRIPTION, 4, REASONCODE, 4, REASONDESCRIPTION, 5, START, 5, STOP, 5, PATIENT, 5, ENCOUNTER, 5, CODE, 5, DESCRIPTION, 6, DATE, 6, PATIENT, 6, ENCOUNTER, 6, CODE, 6, DESCRIPTION, 7, START, 7, STOP, 7, PATIENT, 7, ENCOUNTER, 7, CODE, 7, DESCRIPTION, 7, REASONCODE, 7, REASONDESCRIPTION, 8, DATE, 8, PATIENT, 8, ENCOUNTER, 8, CODE, 8, DESCRIPTION, 8, VALUE, 8, UNITS, 9, DATE, 9, PATIENT, 9, ENCOUNTER, 9, CODE, 9, DESCRIPTION, 9, REASONCODE, 9, REASONDESCRIPTION, 10, ID, 10, PATIENT, 10, BILLABLEPERIOD, 10, ORGANIZATION, 10, ENCOUNTER, 10, DIAGNOSIS, 10, TOTAL
Question: List 5 patients' name that need medication due to streptococcal sore throat disorder.
Evidence: patients name = first, last; streptococcal sore throat disorder refers to medications.REASONDESCRIPTION = 'Streptococcal sore throat (disorder)';
SQL: SELECT DISTINCT T2.first, T2.last FROM medications AS T1 INNER JOIN patients AS T2 ON T1.PATIENT = T2.patient WHERE T1.REASONDESCRIPTION = 'Streptococcal sore throat (disorder)' LIMIT 5
Database: synthea
Tables: all_prevalences, patients, encounters, allergies, careplans, conditions, immunizations, medications, observations, procedures, claims
Columns (table index, column name): -1, *, 0, ITEM, 0, POPULATION TYPE, 0, OCCURRENCES, 0, POPULATION COUNT, 0, PREVALENCE RATE, 0, PREVALENCE PERCENTAGE, 1, patient, 1, birthdate, 1, deathdate, 1, ssn, 1, drivers, 1, passport, 1, prefix, 1, first, 1, last, 1, suffix, 1, maiden, 1, marital, 1, race, 1, ethnicity, 1, gender, 1, birthplace, 1, address, 2, ID, 2, DATE, 2, PATIENT, 2, CODE, 2, DESCRIPTION, 2, REASONCODE, 2, REASONDESCRIPTION, 3, START, 3, STOP, 3, PATIENT, 3, ENCOUNTER, 3, CODE, 3, DESCRIPTION, 4, ID, 4, START, 4, STOP, 4, PATIENT, 4, ENCOUNTER, 4, CODE, 4, DESCRIPTION, 4, REASONCODE, 4, REASONDESCRIPTION, 5, START, 5, STOP, 5, PATIENT, 5, ENCOUNTER, 5, CODE, 5, DESCRIPTION, 6, DATE, 6, PATIENT, 6, ENCOUNTER, 6, CODE, 6, DESCRIPTION, 7, START, 7, STOP, 7, PATIENT, 7, ENCOUNTER, 7, CODE, 7, DESCRIPTION, 7, REASONCODE, 7, REASONDESCRIPTION, 8, DATE, 8, PATIENT, 8, ENCOUNTER, 8, CODE, 8, DESCRIPTION, 8, VALUE, 8, UNITS, 9, DATE, 9, PATIENT, 9, ENCOUNTER, 9, CODE, 9, DESCRIPTION, 9, REASONCODE, 9, REASONDESCRIPTION, 10, ID, 10, PATIENT, 10, BILLABLEPERIOD, 10, ORGANIZATION, 10, ENCOUNTER, 10, DIAGNOSIS, 10, TOTAL
Question: Who is the patient with a body weight of 61.97 kg?
Evidence: body weight of 61.97 kg refers to observations.DESCRIPTION = 'Body Weight' AND observations.VALUE = 61.97; observations.UNITS = 'kg'
SQL: SELECT T2.first, T2.last FROM observations AS T1 INNER JOIN patients AS T2 ON T1.PATIENT = T2.patient WHERE T1.DESCRIPTION = 'Body Weight' AND T1.UNITS = 'kg' AND T1.VALUE = 61.97