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 longterm 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 learni...

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Bibliographic Details
Published in:PLoS ONE
Main Author: Kasim S.; Rudin P.N.F.A.; Malek S.; Aziz F.; Ahmad W.A.W.; Ibrahim K.S.; Hamidi M.H.M.; Shariff R.E.R.; Fong A.Y.Y.; Song C.
Format: Article
Language:English
Published: Public Library of Science 2024
Online Access:https://www.scopus.com/inward/record.uri?eid=2-s2.0-85185235867&doi=10.1371%2fjournal.pone.0298036&partnerID=40&md5=9720cd912b24fce03867a95527ff4d8e

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https://www.scopus.com/inward/record.uri?eid=2-s2.0-85185235867&doi=10.1371%2fjournal.pone.0298036&partnerID=40&md5=9720cd912b24fce03867a95527ff4d8e

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