Research sectors across the board are adopting data mining as a means of extracting useful information from large amounts of data. It is one of the best ways to predict what will happen in the near future because of the current developments in the world. Massive amounts of data are now available as a result of medical advances, but the real challenge is in turning this data into practical applications. Data mining is the greatest way to overcome this obstacle. It's possible that data mining can help healthcare organizations use data more effectively and efficiently. As a result, it enhances care while also lowering expenses. Classification, grouping, association, and regression are some of the Data Mining techniques discussed in this work. In addition, it discusses healthcare data mining's uses, difficulties, and next endeavors.

Healthcare, Data Mining, Decision Tree, Prediction Set, Classification