Disease Prediction System using naïve bayes

Abstract: Accurate and on-time analysis of any health-re- lated problem is vital for the prevention and treatment of the illness. The standard way of diagnosis might not be suf-ficient. Developing a diagnosis system with machine learn- ing (ML) algorithms for prediction of any disease can helpina very more accurate diagnosis than the traditional method.The proposed model is an Disease Prediction System with the help of machine learning algorithm Naive Bayes which takes the symptoms as the input and it gives the output as predicted disease. It results in saving time and also makes it easy to induce a warning about your health before it’s too late. By using this model anyone can get the result as pre- dicted disease by simply given the symptoms as input. The accuracy of this model is more than existing models.