Machine learning for early detection of sepsis: an internal and temporal validation study

OBJECTIVE: Determine if deep learning detects sepsis earlier and more accurately than other models. To evaluate model performance using implementation-oriented metrics that simulate clinical practice. MATERIALS AND METHODS: We trained internally and temporally validated a deep learning model (multi-...

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Detalles Bibliográficos
Autores principales: Bedoya, Armando D, Futoma, Joseph, Clement, Meredith E, Corey, Kristin, Brajer, Nathan, Lin, Anthony, Simons, Morgan G, Gao, Michael, Nichols, Marshall, Balu, Suresh, Heller, Katherine, Sendak, Mark, O’Brien, Cara
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2020
Materias:
Research and Applications
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7382639/
https://www.ncbi.nlm.nih.gov/pubmed/32734166
http://dx.doi.org/10.1093/jamiaopen/ooaa006

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7382639/
https://www.ncbi.nlm.nih.gov/pubmed/32734166
http://dx.doi.org/10.1093/jamiaopen/ooaa006

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