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.

<h4>Background</h4>Cardiovascular disease (CVD) is the leading cause of mortality and morbidity in China and worldwide while we are lacking in validated primary prevention model specifically for Chinese. To identify CVD high-risk individuals for early intervention, we created and validated a primary...

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Detaylı Bibliyografya
Asıl Yazarlar:	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, Doris Yu, William Wong, Tak-Wah Lam, Ian Chi Kei Wong, Ruibang Luo, Celine S L Chui
Materyal Türü:	Artigo
Dil:	Inglês
Baskı/Yayın Bilgisi:	Public Library of Science (PLoS) 2025-01-01
Seri Bilgileri:	PLoS ONE
Online Erişim:	https://doi.org/10.1371/journal.pone.0322419
Etiketler:	Etiketle Etiket eklenmemiş, İlk siz ekleyin!

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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