Algorithms Used For Optimizing K-Means For Heart Disease Diagnosis
Author(s):
Shimpli Borkar, Priyal Dharmawat, Sonali Dobhal, Shloka Harne
Keywords:
Heart disease, Data Mining, Clustering, K-Means.
Abstract
The heart is a significant organ of the human body. Life is reliant on the proper functioning of the heart. Most of the time is difficult to analyze a patient as a heart patient. For this purpose, data mining can be used to recognize a hidden clinical dataset. In this paper, we study to find ways to optimize the K-Means algorithm by overcoming its drawbacks which may help create a heart disease predicting system by applying it. Here, we present a study on the advanced data mining techniques and hybrid algorithms that could be used to optimize the K-Means and increase the prediction accuracy of the system of Heart disease prediction.
Article Details
Unique Paper ID: 149187

Publication Volume & Issue: Volume 6, Issue 11

Page(s): 200 - 204
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Last Date 25 June 2020


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