Prediction of Disease Based on Symptoms using Classification Algorithms

Abstract

Diseases are always associated with symptoms. Doctors diagnose the diseases using symptoms. Nowadays people often neglect the symptoms of the diseases at earlier stage. It is easier to cure the diseases, if its diagnosed in the earlier stage. The proposed disease prediction model helps the people to diagnose their diseases by providing the symptoms. The data preprocessing is focussed. The classification algorithms such as Decision Tree, Support Vector Machine (SVM), K Nearest Neighbor (KNN), Random Forest, Logistic Regression, Naïve Bayes are used for building this disease prediction model. The performance analysis of all these algorithms is done. The Decision tree algorithm provides the highest accuracy 97% and hence used for prediction of the diseases.