COMPUTATIONAL APPROACHES FOR HEART DISEASE PREDICTION - A REVIEW

Abstract
The data mining techniques can be primarily used to extract the potentially useful hidden knowledge from the large volume of health care industry databases for predicting the diseases. It is also assist to locate the relationships and patterns among the extracted data. In this paper, detailed survey of various computational techniques used in health care industry for predicting the heart diseases is presented. The issues facing by the computational models are identified while predicting the heart diseases and the same is also presented with future possible research directions.

Authors
R Manavalan, S Saranya
Arignar Anna Government Arts College, India

Keywords
Data Mining, Heart Disease, Classification, Prediction, Parameters
Published By :
ICTACT
Published In :
ICTACT Journal on Soft Computing
( Volume: 8 , Issue: 3 )
Date of Publication :
April 2018

Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.