Predicting 72-hour and 9-day return to the emergency department using machine learning

OBJECTIVES: To predict 72-h and 9-day emergency department (ED) return by using gradient boosting on an expansive set of clinical variables from the electronic health record. METHODS: This retrospective study included all adult discharges from a level 1 trauma center ED and a community hospital ED c...

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Detalles Bibliográficos
Autores principales: Hong, Woo Suk, Haimovich, Adrian Daniel, Taylor, Richard Andrew
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2019
Materias:
Research and Applications
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6951979/
https://www.ncbi.nlm.nih.gov/pubmed/31984367
http://dx.doi.org/10.1093/jamiaopen/ooz019

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6951979/
https://www.ncbi.nlm.nih.gov/pubmed/31984367
http://dx.doi.org/10.1093/jamiaopen/ooz019

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