Data analytics approach for short- and long-term mortality prediction following acute non-ST-elevation myocardial infarction (NSTEMI) and Unstable Angina (UA) in Asians

• Main Authors: Kasim, Sazzli, Rudin, Putri Nur Fatin Amir, Malek, Sorayya, Aziz, Firdaus, Ahmad, Wan Azman Wan, Ibrahim, Khairul Shafiq, Hamidi, Muhammad Hanis Muhmad, Shariff, Raja Ezman Raja, Fong, Alan Yean Yip, Song, Cheen
• Format: Article
• Published: Public Library of Science 2024
• Subjects: QH Natural history; R Medicine (General)
• Online Access: http://eprints.um.edu.my/45617/; https://doi.org/10.1371/journal.pone.0298036
• Institution: Universiti Malaya

Background Traditional risk assessment tools often lack accuracy when predicting the short- and long-term mortality following a non-ST-segment elevation myocardial infarction (NSTEMI) or Unstable Angina (UA) in specific population. Objective To employ machine learning (ML) and stacked ensemble learn...