Development and Validation of a Machine Learning Model to Predict Near-Term Risk of Iatrogenic Hypoglycemia in Hospitalized Patients

IMPORTANCE: Accurate clinical decision support tools are needed to identify patients at risk for iatrogenic hypoglycemia, a potentially serious adverse event, throughout hospitalization. OBJECTIVE: To predict the risk of iatrogenic hypoglycemia within 24 hours after each blood glucose (BG) measureme...

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Detalles Bibliográficos
Autores principales: Mathioudakis, Nestoras N., Abusamaan, Mohammed S., Shakarchi, Ahmed F., Sokolinsky, Sam, Fayzullin, Shamil, McGready, John, Zilbermint, Mihail, Saria, Suchi, Golden, Sherita Hill
Formato: Online Artículo Texto
Lenguaje:English
Publicado: American Medical Association 2021
Materias:
Original Investigation
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7794667/
https://www.ncbi.nlm.nih.gov/pubmed/33416883
http://dx.doi.org/10.1001/jamanetworkopen.2020.30913

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7794667/
https://www.ncbi.nlm.nih.gov/pubmed/33416883
http://dx.doi.org/10.1001/jamanetworkopen.2020.30913

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