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{
"nbformat": 4,
"nbformat_minor": 0,
"metadata": {
"colab": {
"provenance": []
},
"kernelspec": {
"name": "python3",
"display_name": "Python 3"
},
"language_info": {
"name": "python"
}
},
"cells": [
{
"cell_type": "markdown",
"source": [
"AIMERS"
],
"metadata": {
"id": "D1-ngpe5C5_X"
}
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/"
},
"id": "FU57l9-06L5O",
"outputId": "226f6f01-00b7-453c-b066-542f95f278e8"
},
"outputs": [
{
"output_type": "stream",
"name": "stderr",
"text": [
"/usr/local/lib/python3.8/dist-packages/torch/cuda/__init__.py:497: UserWarning: Can't initialize NVML\n",
" warnings.warn(\"Can't initialize NVML\")\n"
]
},
{
"output_type": "stream",
"name": "stdout",
"text": [
"Accuracy: 0.0\n",
"Classification Report:\n",
" precision recall f1-score support\n",
"\n",
" Acanthosis nigricans 0.00 0.00 0.00 0.0\n",
" Acariasis 0.00 0.00 0.00 0.0\n",
" Acne 0.00 0.00 0.00 0.0\n",
" Acute bronchitis 0.00 0.00 0.00 1.0\n",
" Acute bronchospasm 0.00 0.00 0.00 1.0\n",
" Acute glaucoma 0.00 0.00 0.00 1.0\n",
" Acute pancreatitis 0.00 0.00 0.00 0.0\n",
" Acute stress reaction 0.00 0.00 0.00 1.0\n",
" Adjustment reaction 0.00 0.00 0.00 1.0\n",
" Alcohol intoxication 0.00 0.00 0.00 0.0\n",
" Alcohol withdrawal 0.00 0.00 0.00 1.0\n",
" Alcoholic liver disease 0.00 0.00 0.00 0.0\n",
" Allergy 0.00 0.00 0.00 0.0\n",
" Allergy to animals 0.00 0.00 0.00 1.0\n",
" Anemia due to chronic kidney disease 0.00 0.00 0.00 1.0\n",
" Anemia of chronic disease 0.00 0.00 0.00 1.0\n",
" Angina 0.00 0.00 0.00 0.0\n",
" Ankylosing spondylitis 0.00 0.00 0.00 0.0\n",
" Aphakia 0.00 0.00 0.00 0.0\n",
" Aphthous ulcer 0.00 0.00 0.00 1.0\n",
" Arthritis of the hip 0.00 0.00 0.00 1.0\n",
" Asthma 0.00 0.00 0.00 0.0\n",
" Atelectasis 0.00 0.00 0.00 0.0\n",
" Athlete's foot 0.00 0.00 0.00 1.0\n",
" Atonic bladder 0.00 0.00 0.00 0.0\n",
" Atrial fibrillation 0.00 0.00 0.00 0.0\n",
" Benign vaginal discharge (leukorrhea) 0.00 0.00 0.00 0.0\n",
" Bipolar disorder 0.00 0.00 0.00 1.0\n",
" Birth trauma 0.00 0.00 0.00 0.0\n",
" Bladder cancer 0.00 0.00 0.00 0.0\n",
" Breast cancer 0.00 0.00 0.00 1.0\n",
" Breast cyst 0.00 0.00 0.00 0.0\n",
" Bursitis 0.00 0.00 0.00 1.0\n",
" Carbon monoxide poisoning 0.00 0.00 0.00 0.0\n",
" Cellulitis or abscess of mouth 0.00 0.00 0.00 1.0\n",
" Cervicitis 0.00 0.00 0.00 0.0\n",
" Chalazion 0.00 0.00 0.00 0.0\n",
" Cholecystitis 0.00 0.00 0.00 0.0\n",
" Choledocholithiasis 0.00 0.00 0.00 0.0\n",
" Cholesteatoma 0.00 0.00 0.00 0.0\n",
" Chondromalacia of the patella 0.00 0.00 0.00 0.0\n",
" Chronic back pain 0.00 0.00 0.00 0.0\n",
" Chronic glaucoma 0.00 0.00 0.00 1.0\n",
" Chronic kidney disease 0.00 0.00 0.00 0.0\n",
" Chronic knee pain 0.00 0.00 0.00 0.0\n",
" Chronic obstructive pulmonary disease (COPD) 0.00 0.00 0.00 0.0\n",
" Chronic otitis media 0.00 0.00 0.00 1.0\n",
" Chronic pain disorder 0.00 0.00 0.00 1.0\n",
" Chronic pancreatitis 0.00 0.00 0.00 1.0\n",
" Chronic rheumatic fever 0.00 0.00 0.00 0.0\n",
" Chronic ulcer 0.00 0.00 0.00 0.0\n",
" Cirrhosis 0.00 0.00 0.00 1.0\n",
" Cold sore 0.00 0.00 0.00 0.0\n",
" Colorectal cancer 0.00 0.00 0.00 0.0\n",
" Congenital rubella 0.00 0.00 0.00 1.0\n",
" Conjunctivitis due to allergy 0.00 0.00 0.00 1.0\n",
" Coronary atherosclerosis 0.00 0.00 0.00 1.0\n",
" Croup 0.00 0.00 0.00 0.0\n",
" Crushing injury 0.00 0.00 0.00 1.0\n",
" Cyst of the eyelid 0.00 0.00 0.00 1.0\n",
" Cystic Fibrosis 0.00 0.00 0.00 1.0\n",
" Cytomegalovirus infection 0.00 0.00 0.00 1.0\n",
" De Quervain disease 0.00 0.00 0.00 1.0\n",
" Degenerative disc disease 0.00 0.00 0.00 1.0\n",
" Dengue fever 0.00 0.00 0.00 0.0\n",
" Depression 0.00 0.00 0.00 0.0\n",
" Diabetes insipidus 0.00 0.00 0.00 1.0\n",
" Diaper rash 0.00 0.00 0.00 0.0\n",
" Dislocation of the ankle 0.00 0.00 0.00 0.0\n",
" Dislocation of the finger 0.00 0.00 0.00 1.0\n",
" Dislocation of the foot 0.00 0.00 0.00 1.0\n",
" Dislocation of the hip 0.00 0.00 0.00 1.0\n",
" Dislocation of the shoulder 0.00 0.00 0.00 0.0\n",
" Dissociative disorder 0.00 0.00 0.00 1.0\n",
" Down syndrome 0.00 0.00 0.00 1.0\n",
" Drug abuse (cocaine) 0.00 0.00 0.00 0.0\n",
" Drug reaction 0.00 0.00 0.00 1.0\n",
" Dyshidrosis 0.00 0.00 0.00 1.0\n",
" Ear drum damage 0.00 0.00 0.00 0.0\n",
" Ear wax impaction 0.00 0.00 0.00 1.0\n",
" Emphysema 0.00 0.00 0.00 0.0\n",
" Empyema 0.00 0.00 0.00 1.0\n",
" Encephalitis 0.00 0.00 0.00 0.0\n",
" Endocarditis 0.00 0.00 0.00 1.0\n",
" Endometrial hyperplasia 0.00 0.00 0.00 1.0\n",
" Esophageal cancer 0.00 0.00 0.00 0.0\n",
" Essential tremor 0.00 0.00 0.00 1.0\n",
" Factitious disorder 0.00 0.00 0.00 1.0\n",
" Fat embolism 0.00 0.00 0.00 1.0\n",
" Female genitalia infection 0.00 0.00 0.00 1.0\n",
" Fibroadenoma 0.00 0.00 0.00 1.0\n",
" Fibromyalgia 0.00 0.00 0.00 0.0\n",
" Floaters 0.00 0.00 0.00 0.0\n",
" Fluid overload 0.00 0.00 0.00 1.0\n",
" Foreign body in the eye 0.00 0.00 0.00 0.0\n",
" Foreign body in the throat 0.00 0.00 0.00 0.0\n",
" Foreign body in the vagina 0.00 0.00 0.00 0.0\n",
" Fracture of the ankle 0.00 0.00 0.00 1.0\n",
" Fracture of the arm 0.00 0.00 0.00 1.0\n",
" Fracture of the finger 0.00 0.00 0.00 0.0\n",
" Fracture of the hand 0.00 0.00 0.00 0.0\n",
" Fracture of the jaw 0.00 0.00 0.00 1.0\n",
" Fracture of the leg 0.00 0.00 0.00 0.0\n",
" Fracture of the patella 0.00 0.00 0.00 1.0\n",
" G6PD enzyme deficiency 0.00 0.00 0.00 0.0\n",
" Galactorrhea of unknown cause 0.00 0.00 0.00 0.0\n",
" Gallstone 0.00 0.00 0.00 0.0\n",
" Gastritis 0.00 0.00 0.00 0.0\n",
" Gastroduodenal ulcer 0.00 0.00 0.00 1.0\n",
" Gout 0.00 0.00 0.00 0.0\n",
" Granuloma inguinale 0.00 0.00 0.00 0.0\n",
" Gynecomastia 0.00 0.00 0.00 0.0\n",
" Hashimoto thyroiditis 0.00 0.00 0.00 1.0\n",
" Head and neck cancer 0.00 0.00 0.00 1.0\n",
" Heart attack 0.00 0.00 0.00 1.0\n",
" Heart contusion 0.00 0.00 0.00 0.0\n",
" Heart failure 0.00 0.00 0.00 1.0\n",
" Hemarthrosis 0.00 0.00 0.00 1.0\n",
" Hematoma 0.00 0.00 0.00 1.0\n",
" Hemolytic anemia 0.00 0.00 0.00 1.0\n",
" Hemorrhagic fever 0.00 0.00 0.00 0.0\n",
" High blood pressure 0.00 0.00 0.00 0.0\n",
" Hirsutism 0.00 0.00 0.00 1.0\n",
" Human immunodeficiency virus infection (HIV) 0.00 0.00 0.00 1.0\n",
" Hydatidiform mole 0.00 0.00 0.00 1.0\n",
" Hydrocele of the testicle 0.00 0.00 0.00 0.0\n",
" Hydronephrosis 0.00 0.00 0.00 1.0\n",
" Hyperemesis gravidarum 0.00 0.00 0.00 0.0\n",
" Hypergammaglobulinemia 0.00 0.00 0.00 1.0\n",
" Hyperkalemia 0.00 0.00 0.00 0.0\n",
" Hypernatremia 0.00 0.00 0.00 1.0\n",
"Hypertrophic obstructive cardiomyopathy (HOCM) 0.00 0.00 0.00 1.0\n",
" Hyponatremia 0.00 0.00 0.00 0.0\n",
" Impetigo 0.00 0.00 0.00 1.0\n",
" Indigestion 0.00 0.00 0.00 1.0\n",
" Infectious gastroenteritis 0.00 0.00 0.00 1.0\n",
" Ingrown toe nail 0.00 0.00 0.00 1.0\n",
" Inguinal hernia 0.00 0.00 0.00 0.0\n",
" Injury of the ankle 0.00 0.00 0.00 0.0\n",
" Injury to the abdomen 0.00 0.00 0.00 1.0\n",
" Injury to the arm 0.00 0.00 0.00 0.0\n",
" Injury to the finger 0.00 0.00 0.00 1.0\n",
" Injury to the hand 0.00 0.00 0.00 0.0\n",
" Injury to the hip 0.00 0.00 0.00 1.0\n",
" Insect bite 0.00 0.00 0.00 0.0\n",
" Intestinal cancer 0.00 0.00 0.00 1.0\n",
" Intestinal malabsorption 0.00 0.00 0.00 1.0\n",
" Intestinal obstruction 0.00 0.00 0.00 0.0\n",
" Intracranial abscess 0.00 0.00 0.00 1.0\n",
" Irritable bowel syndrome 0.00 0.00 0.00 0.0\n",
" Kaposi sarcoma 0.00 0.00 0.00 1.0\n",
" Kidney cancer 0.00 0.00 0.00 1.0\n",
" Kidney stone 0.00 0.00 0.00 1.0\n",
" Knee ligament or meniscus tear 0.00 0.00 0.00 1.0\n",
" Lactose intolerance 0.00 0.00 0.00 1.0\n",
" Leishmaniasis 0.00 0.00 0.00 1.0\n",
" Lichen planus 0.00 0.00 0.00 1.0\n",
" Lipoma 0.00 0.00 0.00 1.0\n",
" Lung cancer 0.00 0.00 0.00 1.0\n",
" Lymphadenitis 0.00 0.00 0.00 0.0\n",
" Lymphangitis 0.00 0.00 0.00 1.0\n",
" Lymphogranuloma venereum 0.00 0.00 0.00 1.0\n",
" Magnesium deficiency 0.00 0.00 0.00 1.0\n",
" Malignant hypertension 0.00 0.00 0.00 1.0\n",
" Marijuana abuse 0.00 0.00 0.00 0.0\n",
" Mastoiditis 0.00 0.00 0.00 1.0\n",
" Meckel diverticulum 0.00 0.00 0.00 0.0\n",
" Migraine 0.00 0.00 0.00 1.0\n",
" Mitral valve disease 0.00 0.00 0.00 1.0\n",
" Molluscum contagiosum 0.00 0.00 0.00 1.0\n",
" Mononucleosis 0.00 0.00 0.00 0.0\n",
" Moyamoya disease 0.00 0.00 0.00 0.0\n",
" Mucositis 0.00 0.00 0.00 0.0\n",
" Mumps 0.00 0.00 0.00 1.0\n",
" Muscle spasm 0.00 0.00 0.00 1.0\n",
" Narcolepsy 0.00 0.00 0.00 0.0\n",
" Neonatal jaundice 0.00 0.00 0.00 1.0\n",
" Neurosis 0.00 0.00 0.00 0.0\n",
" Noninfectious gastroenteritis 0.00 0.00 0.00 0.0\n",
" Obstructive sleep apnea (OSA) 0.00 0.00 0.00 1.0\n",
" Onychomycosis 0.00 0.00 0.00 0.0\n",
" Open wound of the cheek 0.00 0.00 0.00 1.0\n",
" Open wound of the finger 0.00 0.00 0.00 0.0\n",
" Open wound of the hand 0.00 0.00 0.00 1.0\n",
" Open wound of the head 0.00 0.00 0.00 1.0\n",
" Open wound of the hip 0.00 0.00 0.00 0.0\n",
" Open wound of the mouth 0.00 0.00 0.00 1.0\n",
" Open wound of the neck 0.00 0.00 0.00 1.0\n",
" Oral leukoplakia 0.00 0.00 0.00 0.0\n",
" Oral mucosal lesion 0.00 0.00 0.00 0.0\n",
" Oral thrush (yeast infection) 0.00 0.00 0.00 1.0\n",
" Osteoarthritis 0.00 0.00 0.00 0.0\n",
" Otitis externa (swimmer's ear) 0.00 0.00 0.00 0.0\n",
" Pancreatic cancer 0.00 0.00 0.00 1.0\n",
" Panic disorder 0.00 0.00 0.00 0.0\n",
" Parkinson disease 0.00 0.00 0.00 0.0\n",
" Paronychia 0.00 0.00 0.00 0.0\n",
" Patau syndrome 0.00 0.00 0.00 0.0\n",
" Pelvic fistula 0.00 0.00 0.00 1.0\n",
" Pelvic organ prolapse 0.00 0.00 0.00 0.0\n",
" Pemphigus 0.00 0.00 0.00 0.0\n",
" Pericarditis 0.00 0.00 0.00 1.0\n",
" Perirectal infection 0.00 0.00 0.00 1.0\n",
" Peritonsillar abscess 0.00 0.00 0.00 1.0\n",
" Personality disorder 0.00 0.00 0.00 0.0\n",
" Phimosis 0.00 0.00 0.00 1.0\n",
" Pilonidal cyst 0.00 0.00 0.00 1.0\n",
" Placental abruption 0.00 0.00 0.00 1.0\n",
" Pleural effusion 0.00 0.00 0.00 1.0\n",
" Pneumonia 0.00 0.00 0.00 0.0\n",
" Pneumothorax 0.00 0.00 0.00 1.0\n",
" Poisoning due to analgesics 0.00 0.00 0.00 1.0\n",
" Poisoning due to antidepressants 0.00 0.00 0.00 0.0\n",
" Polycystic ovarian syndrome (PCOS) 0.00 0.00 0.00 0.0\n",
" Premature ovarian failure 0.00 0.00 0.00 1.0\n",
" Premenstrual tension syndrome 0.00 0.00 0.00 0.0\n",
" Problem during pregnancy 0.00 0.00 0.00 0.0\n",
" Protein deficiency 0.00 0.00 0.00 0.0\n",
" Pseudohypoparathyroidism 0.00 0.00 0.00 1.0\n",
" Psoriasis 0.00 0.00 0.00 0.0\n",
" Psychotic disorder 0.00 0.00 0.00 1.0\n",
" Pulmonary embolism 0.00 0.00 0.00 0.0\n",
" Pulmonary eosinophilia 0.00 0.00 0.00 1.0\n",
" Pulmonary fibrosis 0.00 0.00 0.00 0.0\n",
" Pyelonephritis 0.00 0.00 0.00 0.0\n",
" Pyloric stenosis 0.00 0.00 0.00 1.0\n",
" Reactive arthritis 0.00 0.00 0.00 1.0\n",
" Sarcoidosis 0.00 0.00 0.00 1.0\n",
" Scarlet fever 0.00 0.00 0.00 1.0\n",
" Sciatica 0.00 0.00 0.00 0.0\n",
" Scoliosis 0.00 0.00 0.00 1.0\n",
" Scurvy 0.00 0.00 0.00 1.0\n",
" Sebaceous cyst 0.00 0.00 0.00 0.0\n",
" Sepsis 0.00 0.00 0.00 1.0\n",
" Septic arthritis 0.00 0.00 0.00 1.0\n",
" Shingles (herpes zoster) 0.00 0.00 0.00 0.0\n",
" Sickle cell crisis 0.00 0.00 0.00 1.0\n",
" Sjogren syndrome 0.00 0.00 0.00 1.0\n",
" Skin pigmentation disorder 0.00 0.00 0.00 1.0\n",
" Smoking or tobacco addiction 0.00 0.00 0.00 1.0\n",
" Spermatocele 0.00 0.00 0.00 1.0\n",
" Spondylitis 0.00 0.00 0.00 0.0\n",
" Spondylolisthesis 0.00 0.00 0.00 1.0\n",
" Spondylosis 0.00 0.00 0.00 0.0\n",
" Sporotrichosis 0.00 0.00 0.00 1.0\n",
" Sprain or strain 0.00 0.00 0.00 0.0\n",
" Stenosis of the tear duct 0.00 0.00 0.00 1.0\n",
" Strep throat 0.00 0.00 0.00 1.0\n",
" Stress incontinence 0.00 0.00 0.00 1.0\n",
" Stroke 0.00 0.00 0.00 1.0\n",
" Subarachnoid hemorrhage 0.00 0.00 0.00 1.0\n",
" Subconjunctival hemorrhage 0.00 0.00 0.00 1.0\n",
" Tendinitis 0.00 0.00 0.00 1.0\n",
" Testicular torsion 0.00 0.00 0.00 1.0\n",
" Thoracic aortic aneurysm 0.00 0.00 0.00 1.0\n",
" Tietze syndrome 0.00 0.00 0.00 0.0\n",
" Tonsillar hypertrophy 0.00 0.00 0.00 1.0\n",
" Tonsillitis 0.00 0.00 0.00 0.0\n",
" Tooth abscess 0.00 0.00 0.00 0.0\n",
" Tooth disorder 0.00 0.00 0.00 0.0\n",
" Torticollis 0.00 0.00 0.00 1.0\n",
" Tourette syndrome 0.00 0.00 0.00 1.0\n",
" Toxoplasmosis 0.00 0.00 0.00 1.0\n",
" Tracheitis 0.00 0.00 0.00 1.0\n",
" Transient ischemic attack 0.00 0.00 0.00 0.0\n",
" Trichinosis 0.00 0.00 0.00 1.0\n",
" Trichomonas infection 0.00 0.00 0.00 1.0\n",
" Tricuspid valve disease 0.00 0.00 0.00 1.0\n",
" Turner syndrome 0.00 0.00 0.00 1.0\n",
" Urethral stricture 0.00 0.00 0.00 0.0\n",
" Urge incontinence 0.00 0.00 0.00 1.0\n",
" Urinary tract obstruction 0.00 0.00 0.00 0.0\n",
" Vaginal yeast infection 0.00 0.00 0.00 0.0\n",
" Vaginitis 0.00 0.00 0.00 0.0\n",
" Varicocele of the testicles 0.00 0.00 0.00 1.0\n",
" Viral exanthem 0.00 0.00 0.00 1.0\n",
" Viral warts 0.00 0.00 0.00 0.0\n",
" Vitamin A deficiency 0.00 0.00 0.00 1.0\n",
" Vitreous degeneration 0.00 0.00 0.00 0.0\n",
" Vulvar cancer 0.00 0.00 0.00 1.0\n",
" Vulvar disorder 0.00 0.00 0.00 1.0\n",
" Vulvodynia 0.00 0.00 0.00 1.0\n",
" West Nile virus 0.00 0.00 0.00 1.0\n",
" Whooping cough 0.00 0.00 0.00 0.0\n",
" Wilson disease 0.00 0.00 0.00 0.0\n",
"\n",
" accuracy 0.00 160.0\n",
" macro avg 0.00 0.00 0.00 160.0\n",
" weighted avg 0.00 0.00 0.00 160.0\n",
"\n"
]
},
{
"output_type": "stream",
"name": "stderr",
"text": [
"/usr/local/lib/python3.8/dist-packages/sklearn/metrics/_classification.py:1318: UndefinedMetricWarning: Precision and F-score are ill-defined and being set to 0.0 in labels with no predicted samples. Use `zero_division` parameter to control this behavior.\n",
" _warn_prf(average, modifier, msg_start, len(result))\n",
"/usr/local/lib/python3.8/dist-packages/sklearn/metrics/_classification.py:1318: UndefinedMetricWarning: Recall and F-score are ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.\n",
" _warn_prf(average, modifier, msg_start, len(result))\n",
"/usr/local/lib/python3.8/dist-packages/sklearn/metrics/_classification.py:1318: UndefinedMetricWarning: Precision and F-score are ill-defined and being set to 0.0 in labels with no predicted samples. Use `zero_division` parameter to control this behavior.\n",
" _warn_prf(average, modifier, msg_start, len(result))\n",
"/usr/local/lib/python3.8/dist-packages/sklearn/metrics/_classification.py:1318: UndefinedMetricWarning: Recall and F-score are ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.\n",
" _warn_prf(average, modifier, msg_start, len(result))\n",
"/usr/local/lib/python3.8/dist-packages/sklearn/metrics/_classification.py:1318: UndefinedMetricWarning: Precision and F-score are ill-defined and being set to 0.0 in labels with no predicted samples. Use `zero_division` parameter to control this behavior.\n",
" _warn_prf(average, modifier, msg_start, len(result))\n",
"/usr/local/lib/python3.8/dist-packages/sklearn/metrics/_classification.py:1318: UndefinedMetricWarning: Recall and F-score are ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.\n",
" _warn_prf(average, modifier, msg_start, len(result))\n"
]
}
],
"source": [
"import pandas as pd\n",
"import re\n",
"import spacy\n",
"from sklearn.model_selection import train_test_split\n",
"from sklearn.feature_extraction.text import TfidfVectorizer\n",
"from sklearn.pipeline import Pipeline\n",
"from sklearn.metrics import accuracy_score, classification_report\n",
"from sklearn.linear_model import LogisticRegression\n",
"\n",
"# Load the data\n",
"data = pd.read_csv('symptomssingle.csv')\n",
"\n",
"# Check for any missing values and remove them\n",
"data = data.dropna()\n",
"\n",
"# Define a function to separate symptoms and diseases from the text\n",
"def separate_symptoms_and_diseases(text):\n",
" symptoms = re.findall(r'{\"symptoms\":\"(.*?)\"}', text)\n",
" disease = re.sub(r'(?:{\"symptoms\":\".*?\"},?)+', '', text).strip()\n",
" disease = disease.replace('],', '').strip() # Remove '],' from the disease name\n",
" return symptoms, disease\n",
"\n",
"# Apply the function to the data\n",
"data['symptoms_and_diseases'] = data['data'].apply(separate_symptoms_and_diseases)\n",
"data[['symptoms', 'disease']] = pd.DataFrame(data['symptoms_and_diseases'].tolist(), index=data.index)\n",
"data = data.drop(columns=['data', 'symptoms_and_diseases'])\n",
"\n",
"# Load the spaCy model\n",
"nlp = spacy.load('en_core_web_sm')\n",
"\n",
"# Preprocessing function\n",
"def preprocess(symptoms):\n",
" processed_symptoms = []\n",
" for symptom in symptoms:\n",
" doc = nlp(symptom)\n",
" processed_symptom = ' '.join(token.lemma_.lower() for token in doc if not token.is_stop and token.is_alpha)\n",
" processed_symptoms.append(processed_symptom)\n",
" return ' '.join(processed_symptoms)\n",
"\n",
"# Preprocess the symptoms column\n",
"data['symptoms_preprocessed'] = data['symptoms'].apply(preprocess)\n",
"\n",
"\n",
"# Split the data into train and test sets\n",
"X_train, X_test, y_train, y_test = train_test_split(data['symptoms_preprocessed'], data['disease'], test_size=0.2, random_state=42)\n",
"\n",
"# Create a pipeline for text classification\n",
"pipeline = Pipeline([\n",
" ('tfidf', TfidfVectorizer(ngram_range=(1, 2))),\n",
" ('classifier', LogisticRegression(solver='liblinear', C=10))\n",
"])\n",
"\n",
"# Train the model\n",
"pipeline.fit(X_train, y_train)\n",
"\n",
"# Make predictions\n",
"y_pred = pipeline.predict(X_test)\n",
"\n",
"# Evaluate the model\n",
"print(\"Accuracy: \", accuracy_score(y_test, y_pred))\n",
"print(\"Classification Report:\\n\", classification_report(y_test, y_pred))\n"
]
},
{
"cell_type": "code",
"source": [
"!pip install joblib\n",
"import joblib\n",
"\n",
"# Save the trained model\n",
"joblib.dump(pipeline, 'DiseasePredictionBasedonSymptoms.joblib')\n"
],
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/"
},
"id": "emwnJJVwAupA",
"outputId": "83b9dc69-243d-48fe-8554-533cbf61866a"
},
"execution_count": null,
"outputs": [
{
"output_type": "stream",
"name": "stdout",
"text": [
"Looking in indexes: https://pypi.org/simple, https://us-python.pkg.dev/colab-wheels/public/simple/\n",
"Requirement already satisfied: joblib in /usr/local/lib/python3.8/dist-packages (1.2.0)\n"
]
},
{
"output_type": "execute_result",
"data": {
"text/plain": [
"['DiseasePredictionBasedonSymptoms.joblib']"
]
},
"metadata": {},
"execution_count": 2
}
]
},
{
"cell_type": "code",
"source": [
"import joblib\n",
"\n",
"# Load the saved model\n",
"loaded_pipeline = joblib.load('DiseasePredictionBasedonSymptoms.joblib')\n",
"\n",
"# Make predictions using the loaded model (example)\n",
"sample_symptom = input('Enter a symptom : ')\n",
"processed_symptom = preprocess([sample_symptom])\n",
"prediction = loaded_pipeline.predict([processed_symptom])\n",
"\n",
"print(\"Predicted disease:\", prediction[0])\n"
],
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/"
},
"id": "Tu4fmj1bBYNw",
"outputId": "8ceceb89-7e77-44b5-dca7-66b79a68f582"
},
"execution_count": null,
"outputs": [
{
"output_type": "stream",
"name": "stdout",
"text": [
"Enter a symptom : Weight gain\n",
"Predicted disease: Diabetes\n"
]
}
]
},
{
"cell_type": "code",
"source": [],
"metadata": {
"id": "CY5qrRCkBGuJ"
},
"execution_count": null,
"outputs": []
}
]
} |