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

• Egile Nagusiak: Mansur Huang, Nur Shahellin (Egilea), Ibrahim, Zaidah (Egilea), Mat Diah, Norizan (Egilea)
• Formatua: Liburua
• Argitaratua: Penerbitan UiTM, 2021-10.
• Gaiak: Article; PeerReviewed
• Sarrera elektronikoa: 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...