Machine learning techniques for early heart failure prediction / Nur Shahellin Mansur Huang, Zaidah Ibrahim and Norizan Mat Diah

This paper discusses the performance of four popular machine learning techniques for predicting heart failure using a publicly available dataset from kaggle.com, which are Random Forest (RF), Support Vector Machine (SVM), Naive Bayes (NB), and Logistic Regression (LR). They were selected due to thei...

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Bibliographic Details

Main Authors:	Mansur Huang, Nur Shahellin, Ibrahim, Zaidah, Mat Diah, Norizan
Format:	Article
Language:	en
Published:	Penerbitan UiTM 2021
Subjects:	Neural networks (Computer science)
Online Access:	https://ir.uitm.edu.my/id/eprint/61469/1/61469.pdf https://ir.uitm.edu.my/id/eprint/61469/ https://mjoc.uitm.edu.my/
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