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Advancing ST-elevated myocardial infarction mortality risk prediction in Asian populations through explainable and calibrated machine learning.

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Title: Advancing ST-elevated myocardial infarction mortality risk prediction in Asian populations through explainable and calibrated machine learning.
Authors: Kasim S; Cardiovascular Advancement and Research Excellence Institute (CARE Institute), Universiti Teknologi MARA, Selangor, Malaysia.; National Heart Association of Malaysia, Heart House, Kuala Lumpur, Malaysia., Feng LB; Institute of Biological Sciences, Faculty of Science, University Malaya, Kuala Lumpur, Malaysia., Fatin Amir Rudin PN; Institute of Biological Sciences, Faculty of Science, University Malaya, Kuala Lumpur, Malaysia., Ibrahim KS; National Heart Association of Malaysia, Heart House, Kuala Lumpur, Malaysia., Wan Ahmad WA; National Heart Association of Malaysia, Heart House, Kuala Lumpur, Malaysia.; Division of Cardiology, University Malaya Medical Centre, Kuala Lumpur, Malaysia., Yip Fong AY; National Heart Association of Malaysia, Heart House, Kuala Lumpur, Malaysia.; Department of Cardiology, Sarawak General Hospital, Sarawak, Malaysia., Cheen S; Department of Applied Physics, Faculty of Science and Technology, Universiti Kebangsaan Malaysia, Selangor, Malaysia., Malek S; Institute of Biological Sciences, Faculty of Science, University Malaya, Kuala Lumpur, Malaysia.
Source: Digital health [Digit Health] 2026 May 20; Vol. 12, pp. 20552076261426306. Date of Electronic Publication: 2026 May 20 (Print Publication: 2026).
Publication Type: Journal Article
Journal Info: Publisher: SAGE Publications Ltd Country of Publication: United States NLM ID: 101690863 Publication Model: eCollection Cited Medium: Print ISSN: 2055-2076 (Print) Linking ISSN: 20552076 NLM ISO Abbreviation: Digit Health Subsets: PubMed not MEDLINE
Database: MEDLINE Ultimate
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ISSN:2055-2076
DOI:10.1177/20552076261426306