Machine learning-based prediction of mortality risk from air pollution-induced acute coronary syndrome in the Western Pacific region

Sazzli Kasim; Sorayya Malek; Song Cheen; Putri Nur Fatin; Kiew Xue Ning; Hanis Hamidi; Wan Azman Wan Ahmad; Khairul Shafiq Ibrahim; Kazuaki Negishi; Meriam Nik Sulaiman; Alan Fong

doi:10.1038/s41598-025-15410-0

Machine learning-based prediction of mortality risk from air pollution-induced acute coronary syndrome in the Western Pacific region

S Sazzli Kasim S Sorayya Malek S Song Cheen P Putri Nur Fatin K Kiew Xue Ning H Hanis Hamidi W Wan Azman Wan Ahmad K Khairul Shafiq Ibrahim K Kazuaki Negishi M Meriam Nik Sulaiman A Alan Fong

Download PDF View Original

APA MLA Chicago BibTeX RIS

Article Details

Journal Scientific Reports

Volume / Issue Vol. 16, Issue 1

Published January 27, 2026

DOI 10.1038/s41598-025-15410-0

ISSN 2045-2322

Publisher Nature Portfolio

Journal Info

Scientific Reports

Nature Portfolio

ISSN: 2045-2322 Open Access Life Sciences

Authors (11)

S

Sazzli Kasim

S

Sorayya Malek

S

Song Cheen

P

Putri Nur Fatin

K

Kiew Xue Ning

H

Hanis Hamidi

W

Wan Azman Wan Ahmad

K

Khairul Shafiq Ibrahim

K

Kazuaki Negishi

M

Meriam Nik Sulaiman

A

Alan Fong

Machine learning-based prediction of mortality risk from air pollution-induced acute coronary syndrome in the Western Pacific region

Article Details

Journal Info

Authors (11)

Related Articles from this Journal

AI models of unstable flow exhibit hallucination

The MCAA-YOLO + XPBI integrated model provides a hybrid intelligent measurement method for predicting the body weight of Hu sheep

Application of iron nano-biofertilizers as a sustainable approach to enhance growth and micronutrient uptake in soybean

Adolescents’ status-dependent public and private conformity to prosocial and antisocial decisions in a public goods game

An explainable hierarchical capsule network framework for supporting expert sensory evaluation of herbal medicines with natural language generation