Enhanced cardiovascular risk prediction in the Western Pacific: A machine learning approach tailored to the Malaysian population
These findings underscore the effectiveness of ML models in improving CVD risk stratification and decision-making in Malaysia and beyond.
Authors
- Sazzli Kasim (ORCID: https://orcid.org/0000-0003-4585-7713)
- Raja Ezman Raja Shariff (ORCID: https://orcid.org/0000-0002-5167-5863)
- Khairul Shafiq Ibrahim (ORCID: https://orcid.org/0000-0002-0507-8865)
- Xue Ning Kiew
- Sorayya Malek (ORCID: https://orcid.org/0000-0001-6450-6404)
- Nurulain Ibrahim (ORCID: https://orcid.org/0000-0002-8120-9468)
- Putri Nur Fatin Amir Rudin
- Nafiza Mat Nasir (ORCID: https://orcid.org/0000-0002-8022-5757)
Institutions
- University Malaya Medical Centre (MY)
- University of Malaya (MY)
- Hospital Sungai Buloh (MY)
- Universiti Teknologi MARA (MY)
Publication Details
- Journal
- PLoS ONE
- Published
- 2025-06-17
- DOI
- https://doi.org/10.1371/journal.pone.0323949
- Citations
- 1
- Primary Topic
- Cardiovascular Health and Risk Factors
- Type
- article
- Field-Weighted Citation Impact
- 1.39