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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Main Authors: | , , |
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Format: | Article |
Language: | English |
Published: |
Penerbitan UiTM
2021
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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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