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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| Format: | Book |
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Penerbitan UiTM,
2021-10.
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| Online Access: | Link Metadata |
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