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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.

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Title: 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.
Authors: Zhou, Yekai1,2 (AUTHOR), Lin, Celia Jiaxi3 (AUTHOR), Yu, Qiuyan2,4 (AUTHOR), Blais, Joseph Edgar4 (AUTHOR), Wan, Eric Yuk Fai4,5,6 (AUTHOR), Wong, Emmanuel7 (AUTHOR), Tan, Kathryn7 (AUTHOR), Siu, David Chung-Wah7 (AUTHOR), Yiu, Kai Hang7 (AUTHOR), Chan, Esther Wai Yin2,4 (AUTHOR), Yu, Doris3 (AUTHOR), Wong, William5 (AUTHOR), Lam, Tak-Wah1 (AUTHOR), Wong, Ian Chi Kei2,6,8 (AUTHOR), Luo, Ruibang1,6 (AUTHOR) rbluo@cs.hku.hk, Chui, Celine S. L.2,3,6 (AUTHOR) cslchui@hku.hk
Source: PLoS ONE. 7/28/2025, Vol. 20 Issue 7, p1-15. 15p.
Database: Academic Search Ultimate
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  Data: <searchLink fieldCode="JN" term="%22PLoS+ONE%22">PLoS ONE</searchLink>. 7/28/2025, Vol. 20 Issue 7, p1-15. 15p.
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=asn&AN=186966622
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