This Python-based project is designed to predict diseases based on provided symptoms using machine learning techniques.
There are a total of 4 datasets used.
- Symptom_severity.cvs dataset has the severity score for each symptom.
- dataset.csv has the disease and the corresponding symptoms listed.
- Symptom_description.cvs has a detailed description of each disease
- Symptom_precaution.csv has precautionary measures for every disease
A Decision Tree Classifier, Random Forest Classifier and Multinomial Logistic Regression were used , out of which accuracy using Random Forest Classifier was the highest.
Decision Tree Classifier
Multinomial Logistic Regression
Random Forest Classifier
Note:
This system's predictions are based on provided symptom data and do not replace professional medical advice. It is intended for educational and demonstrative purposes only.