Comparative Study of Optimum Medical Diagnosis of Human Heart Disease Using Machine Learning Technique With and Without Sequential Feature Selection

Predicting heart disease is regarded as one of the most difficult challenges in the health-care profession. To predict cardiac disease, researchers employed a variety of algorithms including LDA, RF, GBC, DT, SVM, and KNN, as well as the feature selection algorithm sequential feature selection. For...

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Bibliographic Details

Published in:	IEEE Access
Main Authors:	Ghulab Nabi Ahmad, Shafi Ullah, Abdullah Algethami, Hira Fatima, Syed Md. Humayun Akhter
Format:	Article
Language:	English
Published:	IEEE 2022-01-01
Subjects:	Heart disease sequential feature selection DT RF SVM GBC
Online Access:	https://ieeexplore.ieee.org/document/9718089/