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

• Päätekijät: Mansur Huang, Nur Shahellin (Tekijä), Ibrahim, Zaidah (Tekijä), Mat Diah, Norizan (Tekijä)
• Aineistotyyppi: Kirja
• Julkaistu: Penerbitan UiTM, 2021-10.
• Aiheet: Article; PeerReviewed
• Linkit: Link Metadata

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...