Experimental analysis of Disease Prediction using Machine Learning

With the technological advancement in the field of medical health care we need a best possible health care system that can predict the disease only on the basis of symptoms. In this study we applied various machine learning algorithm including KNN, support vector machine, decision tree, Naïve Bayes and logistic regression on various disease dataset to find the most accurate algorithm on particular disease. The objective of this study is to provide fast and efficient machine learning algorithm that will help doctors to choose the best suited algorithm for the particular disease.