Enhanced cardiovascular risk prediction in the Western Pacific: A machine learning approach tailored to the Malaysian population.

Journal: PloS one

Published Date: Jun 17, 2025

BACKGROUND: Cardiovascular disease (CVD) is a significant public health challenge in the Western Pacific region, including Malaysia.

Sazzli Kasim

Cardiology Department, Faculty of Medicine, Universiti Teknologi MARA (UiTM), Shah Alam, Malaysia.
Putri Nur Fatin Amir Rudin

Institute of Biological Sciences, Faculty of Science, University Malaya, Kuala Lumpur, Malaysia.
Sorayya Malek

Bioinformatics Division, Institute of Biological Sciences, Faculty of Science, University of Malaya, Kuala Lumpur, Malaysia.
Nurulain Ibrahim

Faculty of Medicine, Universiti Teknologi MARA (UiTM), Sungai Buloh Campus, Sungai Buloh, Malaysia.
Xue Ning Kiew

Institute of Biological Sciences, Faculty of Science, University Malaya, Kuala Lumpur, Malaysia.
Nafiza Mat Nasir

Faculty of Medicine, Universiti Teknologi MARA (UiTM), Sungai Buloh Campus, Sungai Buloh, Malaysia.
Khairul Shafiq Ibrahim

Cardiology Department, Faculty of Medicine, Universiti Teknologi MARA (UiTM), Shah Alam, Malaysia.
Raja Ezman Raja Shariff

Cardiology Department, Faculty of Medicine, Universiti Teknologi MARA (UiTM), Shah Alam, Malaysia.

Adult Aged Algorithms Bayes Theorem Cardiovascular Diseases Female Heart Disease Risk Factors Humans Machine Learning Malaysia Male Middle Aged Risk Assessment Risk Factors Support Vector Machine

View on PubMed Access via DOI PubMed (40526616)