Identification of robust deep neural network models of longitudinal clinical measurements

Deep learning (DL) from electronic health records holds promise for disease prediction, but systematic methods for learning from simulated longitudinal clinical measurements have yet to be reported. We compared nine DL frameworks using simulated body mass index (BMI), glucose, and systolic blood pre...

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Detalles Bibliográficos
Autores principales: Javidi, Hamed, Mariam, Arshiya, Khademi, Gholamreza, Zabor, Emily C., Zhao, Ran, Radivoyevitch, Tomas, Rotroff, Daniel M.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9329311/
https://www.ncbi.nlm.nih.gov/pubmed/35896817
http://dx.doi.org/10.1038/s41746-022-00651-4

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9329311/
https://www.ncbi.nlm.nih.gov/pubmed/35896817
http://dx.doi.org/10.1038/s41746-022-00651-4

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