Nanyonga Aziida, Sorayya Malek, Firdaus Aziz, Khairul Shafiq Ibrahim, & Sazzli Kasim. (2021). Predicting 30-day mortality after an acute coronary syndrome (ACS) using machine learning methods for feature selection, classification and visualization. Penerbit Universiti Kebangsaan Malaysia.
Chicago Style (17th ed.) CitationNanyonga Aziida, Sorayya Malek, Firdaus Aziz, Khairul Shafiq Ibrahim, and Sazzli Kasim. Predicting 30-day Mortality After an Acute Coronary Syndrome (ACS) Using Machine Learning Methods for Feature Selection, Classification and Visualization. Penerbit Universiti Kebangsaan Malaysia, 2021.
MLA (9th ed.) CitationNanyonga Aziida, et al. Predicting 30-day Mortality After an Acute Coronary Syndrome (ACS) Using Machine Learning Methods for Feature Selection, Classification and Visualization. Penerbit Universiti Kebangsaan Malaysia, 2021.