M Preethi
Sri Ramakrishna Engineering College, Coimbatore, India

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A Survey of Predicting Heart Disease M Preethi; J Selvakumar
JOIV : International Journal on Informatics Visualization Vol 4, No 2 (2020)
Publisher : Politeknik Negeri Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (935.672 KB) | DOI: 10.30630/joiv.4.2.365

Abstract

This paper describes various methods of data mining, big data and machine learning models for predicting the heart disease. Data mining and machine learning plays an important role in building an important model for medical system to predict heart disease or cardiovascular disease. Medical experts can help the patients by detecting the cardiovascular disease before occurring. Now-a-days heart disease is one of the most significant causes of fatality. The prediction of heart disease is a critical challenge in the clinical area. But time to time, several techniques are discovered to predict the heart disease in data mining. In this survey paper, many techniques were described for predicting the heart disease.