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Primary prevention cardiovascular disease risk prediction model for contemporary Chinese (1°P-CARDIAC): Model derivation and validation using a hybrid statistical and machine-learning approach
- Yekai Zhou ,
- Celia Jiaxi Lin ,
- Qiuyan Yu,
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Joseph Edgar Blais,
Roles Writing – review & editing
Affiliation Centre for Safe Medication Practice and Research, Department of Pharmacology and Pharmacy, The University of Hong Kong, Hong Kong Special Administration Region, China
⨯ - Eric Yuk Fai Wan,
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Emmanuel Wong,
Roles Writing – review & editing
Affiliation Department of Medicine, School of Clinical Medicine, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong Special Administration Region, China
⨯ - Kathryn Tan,
- David Chung-Wah Siu,
- Kai Hang Yiu,
- Esther Wai Yin Chan,
- Doris Yu,
- William Wong,
- Tak-Wah Lam,
- Ian Chi Kei Wong,
- Ruibang Luo ,
- [ ... ],
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Celine S. L. Chui
Roles Funding acquisition, Supervision
* E-mail: cslchui@hku.hk (CSLC); rbluo@cs.hku.hk (RL)
Affiliations Laboratory of Data Discovery for Health (D24H), Hong Kong Science Park, Hong Kong Science and Technology Park, Hong Kong Special Administration Region, China, School of Nursing, The University of Hong Kong, Hong Kong Special Administration Region, China, Advanced Data Analytics for Medical Science (ADAMS) Limited, Hong Kong Special Administration Region, China,
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https://orcid.org/0000-0001-7895-198X
Primary prevention cardiovascular disease risk prediction model for contemporary Chinese (1°P-CARDIAC): Model derivation and validation using a hybrid statistical and machine-learning approach
- Yekai Zhou,
- Celia Jiaxi Lin,
- Qiuyan Yu,
- Joseph Edgar Blais,
- Eric Yuk Fai Wan,
- Emmanuel Wong,
- Kathryn Tan,
- David Chung-Wah Siu,
- Kai Hang Yiu,
- Esther Wai Yin Chan
- Published: July 28, 2025
- https://doi.org/10.1371/journal.pone.0322419