Early diagnosis of a disease is a vital task in medical informatics. Data mining is one of the principal contributors in this discipline. Utilization of Data Mining Technology in Disease Forecasting System is a recognized trend and is successfully emerging in this domain. In today`s world, Heart Disease is the one of the most prevalent disease among people with a high mortality rate. It is essential to classify the reports of heart patients into correct subclasses to lower fatality rate. Over the years, Data mining classification and prediction approaches has been used extensively for disease prediction. This paper comes out with the compilation, analysis as well as comparative study of numerous classification approaches used for predictive analysis of several diseases. The goal of the survey is to provide a comprehensive review of the work done on disease prediction using different classification approaches in data mining.