Predicting malnutrition from longitudinal patient trajectories with deep learning

Malnutrition is common, morbid, and often correctable, but subject to missed and delayed diagnosis. Better screening and prediction could improve clinical, functional, and economic outcomes. This study aimed to assess the predictability of malnutrition from longitudinal patient records, and the exte...

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Detalles Bibliográficos
Autores principales: Jin, Boyang Tom, Choi, Mi Hyun, Moyer, Meagan F., Kim, David A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2022
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9333236/
https://www.ncbi.nlm.nih.gov/pubmed/35901027
http://dx.doi.org/10.1371/journal.pone.0271487

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9333236/
https://www.ncbi.nlm.nih.gov/pubmed/35901027
http://dx.doi.org/10.1371/journal.pone.0271487

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