Predicting hypertension onset from longitudinal electronic health records with deep learning

OBJECTIVE: Hypertension has long been recognized as one of the most important predisposing factors for cardiovascular diseases and mortality. In recent years, machine learning methods have shown potential in diagnostic and predictive approaches in chronic diseases. Electronic health records (EHRs) h...

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Detalles Bibliográficos
Autores principales: Datta, Suparno, Morassi Sasso, Ariane, Kiwit, Nina, Bose, Subhronil, Nadkarni, Girish, Miotto, Riccardo, Böttinger, Erwin P
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2022
Materias:
Research and Applications
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9696747/
https://www.ncbi.nlm.nih.gov/pubmed/36448021
http://dx.doi.org/10.1093/jamiaopen/ooac097

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9696747/
https://www.ncbi.nlm.nih.gov/pubmed/36448021
http://dx.doi.org/10.1093/jamiaopen/ooac097

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