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

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

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...

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Bibliographic Details
Published in:PLOS ONE
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
Language:English
Published: PUBLIC LIBRARY SCIENCE 2024
Subjects:
Science & Technology - Other Topics
Online Access:https://www-webofscience-com.uitm.idm.oclc.org/wos/woscc/full-record/WOS:001164173200030

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