Validation of risk prediction models applied to longitudinal electronic health record data for the prediction of major cardiovascular events in the presence of data shifts

AIMS: Deep learning has dominated predictive modelling across different fields, but in medicine it has been met with mixed reception. In clinical practice, simple, statistical models and risk scores continue to inform cardiovascular disease risk predictions. This is due in part to the knowledge gap...

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Detalles Bibliográficos
Autores principales: Li, Yikuan, Salimi-Khorshidi, Gholamreza, Rao, Shishir, Canoy, Dexter, Hassaine, Abdelaali, Lukasiewicz, Thomas, Rahimi, Kazem, Mamouei, Mohammad
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2022
Materias:
Original Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9779795/
https://www.ncbi.nlm.nih.gov/pubmed/36710898
http://dx.doi.org/10.1093/ehjdh/ztac061

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9779795/
https://www.ncbi.nlm.nih.gov/pubmed/36710898
http://dx.doi.org/10.1093/ehjdh/ztac061

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