Predicting ward transfer mortality with machine learning

In order to address a long standing challenge for internal medicine physicians we developed artificial intelligence (AI) models to identify patients at risk of increased mortality. After querying 2,425 records of patients transferred from non-intensive care units to intensive care units from the Vet...

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Detalles Bibliográficos
Autores principales: Lezama, Jose L., Alterovitz, Gil, Jakey, Colleen E., Kraus, Ana L., Kim, Michael J., Borkowski, Andrew A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2023
Materias:
Artificial Intelligence
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10433377/
https://www.ncbi.nlm.nih.gov/pubmed/37601037
http://dx.doi.org/10.3389/frai.2023.1191320

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10433377/
https://www.ncbi.nlm.nih.gov/pubmed/37601037
http://dx.doi.org/10.3389/frai.2023.1191320

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