A Quantification of Data Mining Approaches for Heart Disease Prediction

  • Dr. Brijesh Kumar Bhardwaj

Abstract

In this day and age stored data in training database increments exceptionally, the databases contain data covered up and required for development of understudy's presentation. Data mining is comprehensively used in arranged domains. This paper clarifies utilization of new comparative study of approach in instructive data mining. Regression techniques and classification are utilized the data correlation with data mining ability. Diseases are important issues for human beings and society.  Early prediction and detections of diseases provide to help for retain the issues. In order to, we examine to causes of heart disease at various level using classification and regression techniques. The consequence of our exploration uncovered huge contrasts in the ward and awareness for data mining in various situation. As a ramification for additional data mining research, we recognize an issue proclamation that necessities to be featured. We had introduced a reasonable arrangement of the possible data mining rules and various strategies are displayed at the same time.

Published
2020-05-19
How to Cite
Dr. Brijesh Kumar Bhardwaj. (2020). A Quantification of Data Mining Approaches for Heart Disease Prediction. International Journal of Advanced Science and Technology, 29(9s), 4252 - 4258. Retrieved from https://sersc.org/journals/index.php/IJAST/article/view/16799