• Ms. Deepali Jawale
• Mrs. Rashmi Deshpande
• Mrs. Pooja Mishra

Data mining is an advanced technology, which is the process of discovering actionable information from large set of data is a tool for analysing massive amounts of data and extracting patterns that can be transformed As a result, many are hesitant to seek effective treatment early in the course of an illness. to knowledge that is beneficial. Medical data mining has a great potential for exploring the hidden patterns in the data sets of medical domain. Clinical diagnosis can be done using these patterns.. These data need to be collected in a standardized form. From the medical profiles fourteen attributes are extracted such as age, sex, blood pressure and blood sugar etc. It can predict the likelihood of patient getting heart disease. In this paper these attributes are fed in to K-means algorithms, MAFIA algorithm and Decision tree classification in heart disease prediction, When the data mining technique is applied to heart disease therapy, it can produce results that are as reliable as those obtained when diagnosing heart disease. This would allow medical industries to provide better patient diagnosis and treatment, resulting in higher service quality. The following are the paper's key benefits: early identification of cardiac disease, timely diagnosis, and treatment at a reasonable cost. This concludes that in this paper the focus is on using different algorithms in data mining and sequence of several attributes for effective heart disease prediction and its diagnosis. Decision Tree has tremendous efficiency using fourteen attributes, after applying a genetic algorithm to reduce the actual data size to get the optimal subset of attribute acceptable for heart disease prediction.

: Dataset, Clustering, Frequent item set mining, Disease prediction.

"Novel approach for cardiac disease detection using data mining technique", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.8, Issue 12, page no.f41-f44, December-2021, Available :http://www.jetir.org/papers/JETIR2112505.pdf

"Novel approach for cardiac disease detection using data mining technique", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.8, Issue 12, page no. ppf41-f44, December-2021, Available at : http://www.jetir.org/papers/JETIR2112505.pdf