This document summarizes a research paper that reviews the use of data mining techniques in healthcare and medicine. It discusses how data mining can help healthcare organizations make better decisions, identify effective treatments, and provide more affordable care by analyzing large amounts of complex healthcare data. The document then reviews several past studies on applying data mining for medical tasks like predicting diseases. It also summarizes different data mining algorithms that have been used, such as Apriori for association rule mining. Finally, the document proposes a system to recommend lower-cost alternative medicines to users based on clustering similar drugs and classifying inputs.