Incorporating longitudinal history of risk factors into atherosclerotic cardiovascular disease risk prediction using deep learning

BACKGROUND: It is increasingly clear that longitudinal risk factor levels and trajectories are related to risk for atherosclerotic cardiovascular disease (ASCVD) above and beyond single measures. Currently used in clinical care, the Pooled Cohort Equations (PCE) are based on regression methods that...

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Detalles Bibliográficos
Autores principales: Yu, Jingzhi, Yang, Xiaoyun, Deng, Yu, Krefman, Amy E., Pool, Lindsay R., Zhao, Lihui, Mi, Xinlei, Ning, Hongyan, Wilkins, John, Lloyd-Jones, Donald M., Petito, Lucia C., Allen, Norrina B.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: American Journal Experts 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10602136/
https://www.ncbi.nlm.nih.gov/pubmed/37886463
http://dx.doi.org/10.21203/rs.3.rs-3405388/v1

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10602136/
https://www.ncbi.nlm.nih.gov/pubmed/37886463
http://dx.doi.org/10.21203/rs.3.rs-3405388/v1

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