Prediction Support System for Multiple Disease Prediction Using Naive Bayes Classifier

The prediction support system extracts the personal data such as user health conditions from day to day life. The lifestyle data are gathered and stored at data repository by using web technology and mobile applications. The user enter their daily health conditions in textual format. The Natural Language Processing (NLP) is used to understand the given input and further forecast the user's illness. The keyword is extracted using text mining algorithm. In this project an effective Multiclass Naive Bayes algorithm is used for predicting the multiple disease by implementing the operations on medical datasets.