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A Review on Data Mining Model to Predict Coronary Artery Disease

File Size:
1.28 MB
Volume:
Volume 3, Issue 6 (June, 2017)
Publication No:
IJTC201706002
Author:
Inderpreet Kaur, Er.Sukhpreet Kaur
Downloads:
5 x

Abstract:
Nowadays, health diseases are increasing at a rapid pace due to alifestyle that people have adopted today and many other reasons. Today many people are avictim of Heart disease. Because of these heart diseases life of individualshas become risky. Data mining process has great potential for the healthcare industry for enabling the health care systems to systematically acquire data from various sources and then use it for analysis to identify hidden patterns. This paper discusses the coronary heart disease, its symptoms, and causes for happening. Along with detail about the condition, thearticle also provides the ways by which one can prevent this disease from happening. This article explores how data mining can be useful in healthcare or medical domain. Specifically, it discusses how different data mining techniques are helpful in the medical field such as the evaluation of treatment effectiveness, and management of healthcare data.

Keywords:
Coronary artery disease (CAD), Data Mining, Knowledge Discovery, Data Mining technique, Data Mining process.