The main aim of the project is to give a profound examination on the exploration field of healthcare data analytics and also featuring some of rules and holes in past investigations. This investigation has concentrated on seeking significant papers about healthcare analytics. The paper has recorded a few data analytics instruments and procedures that have been utilized to enhance healthcare execution in numerous zones, such as medical operation, reports, decision making, prediction, and prevention system. The health data are obtained from the patients using web forms and the data collected are converted into an excel file which is encrypted and stored in the cloud. From the excel file, the input is given to R programming studio for data analysis. In R programming clustering and classification are processed to define the normal or abnormal conditions. For clustering, we used k-means algorithm and for classification, we used naive Bayes algorithm. Finally, the output is shown using Shinyapps.io web services