The objective is to develop a symptom-to-disease classification model for a natural language chatbot.
This model takes input text such as "I am feeling vomiting, breathlessness, and sweating" and accurately identifies the associated disease (Label_18 - 'Heart attack').
In essence, the chatbot's purpose is to analyze users' symptoms and provide relevant disease predictions in real-time conversation.
Superset of https://huggingface.co/shanover/disease_classifier_base
Symptoms to Disease - Sequence Classifier (41 Diseases)
List of Encoded Numbers and Corresponding Disease Names
- (Vertigo) Paroxysmal Positional Vertigo
- AIDS
- Acne
- Alcoholic hepatitis
- Allergy
- Arthritis
- Bronchial Asthma
- Cervical spondylosis
- Chicken pox
- Chronic cholestasis
- Common Cold
- Dengue
- Diabetes
- Dimorphic hemorrhoids (piles)
- Drug Reaction
- Fungal infection
- GERD
- Gastroenteritis
- Heart attack
- Hepatitis B
- Hepatitis C
- Hepatitis D
- Hepatitis E
- Hypertension
- Hyperthyroidism
- Hypoglycemia
- Hypothyroidism
- Impetigo
- Jaundice
- Malaria
- Migraine
- Osteoarthritis
- Paralysis (brain hemorrhage)
- Peptic ulcer disease
- Pneumonia
- Psoriasis
- Tuberculosis
- Typhoid
- Urinary tract infection
- Varicose veins
- Hepatitis A
EOD
- Downloads last month
- 65
This model does not have enough activity to be deployed to Inference API (serverless) yet.
Increase its social visibility and check back later, or deploy to Inference Endpoints (dedicated)
instead.