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...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Penerbitan UiTM,
2021-10.
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| Subjects: | |
| Online Access: | Get fulltext View Fulltext in UiTM IR |