ICTACT Journal on Soft Computing

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Computational Approaches for Heart Disease Prediction-A Review


Affiliations
1 Department of Computer Science, Arignar Anna Government Arts College, India
     

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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.

Keywords

Data Mining, Heart Disease, Classification, Prediction, Parameters.
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  • Computational Approaches for Heart Disease Prediction-A Review

Abstract Views: 334  |  PDF Views: 2

Authors

R. Manavalan
Department of Computer Science, Arignar Anna Government Arts College, India
S. Saranya
Department of Computer Science, Arignar Anna Government Arts College, India

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.

Keywords


Data Mining, Heart Disease, Classification, Prediction, Parameters.

References