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INTERNATIONAL JOURNAL OF PHARMACEUTICAL RESEARCH

A Step Towards Excellence
Published by : Advanced Scientific Research
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0975-2366
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IJPR 9[3] July - September 2017 Special Issue

July - September 9[3] 2017

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A state of art heart disease prediction techniques based on evolutionary algorithms

Author: R.THANGA SELVI, , I.MUTHULAKSHMI
Abstract: In the past decades, heart disease (HD) is an important reason for the increased mortality rate. It is a demanding problem to build powerful and reliable medical decision support systems (MDSS) to diminish the diagnosing time and enhancing the accuracy of diagnosis. Among the massive data, to explore the hidden patterns, data mining provides various approaches. From the medical data of patient, HD can be diagnosed using the data mining approaches. Various classification algorithms are built to diagnose the HD correctly. Classification rule mining is a significant job in the data mining development which is planned to search a tiny collection of rules out of the training data set. This paper reviews several classification algorithms based on evolutionary algorithms (EA) developed for the prediction of HD in various aspects. A detailed review is made based on the objectives, methodology used, advantages, performance measures used and so on. At the end of the paper, a comparative analysis is made based on different metrics.
Keyword: Heart disease, Classification, Machine learning, Disease prediction.
DOI: https://doi.org/10.31838/ijpr/2019.11.01.091
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