Stroke risk prediction using machine learning: a prospective cohort study of 0.5 million Chinese adults | Zendy

Matthew Chun | Zendy; Robert Clarke | Zendy; Benjamin J. Cairns | Zendy; David A. Clifton | Zendy; Derrick Bennett | Zendy; Yiping Chen | Zendy; Yu Guo | Zendy; Pei Pei | Zendy; Jun Lv | Zendy; Canqing Yu | Zendy; Ling Yang | Zendy; Liming Li | Zendy; Zhengming Chen | Zendy; Tingting Zhu | Zendy

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Stroke risk prediction using machine learning: a prospective cohort study of 0.5 million Chinese adults

Author(s) -

Matthew Chun,

Robert Clarke,

Benjamin J. Cairns,

David A. Clifton,

Derrick Bennett,

Yiping Chen,

Yu Guo,

Pei Pei,

Jun Lv,

Canqing Yu,

Ling Yang,

Liming Li,

Zhengming Chen,

Tingting Zhu

Publication year - 2021

Publication title -

journal of the american medical informatics association

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 1.614

H-Index - 150

eISSN - 1527-974X

pISSN - 1067-5027

DOI - 10.1093/jamia/ocab068

Subject(s) - prospective cohort study , stroke (engine) , medicine , proportional hazards model , ensemble learning , machine learning , artificial intelligence , cohort study , computer science , engineering , mechanical engineering

To compare Cox models, machine learning (ML), and ensemble models combining both approaches, for prediction of stroke risk in a prospective study of Chinese adults.

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