ritzx21 / Clinical-Symptoms-Prediction

Disease Prediction System using Machine Learning

This Python-based project is designed to predict diseases based on provided symptoms using machine learning techniques.

Data and Preprocessing

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

Machine Learning Model

A Decision Tree Classifier, Random Forest Classifier and Multinomial Logistic Regression were used , out of which accuracy using Random Forest Classifier was the highest.

Accuracy

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.