Incorporating real-world evidence into the development of patient blood glucose prediction algorithms for the ICU

OBJECTIVE: Glycemic control is an important component of critical care. We present a data-driven method for predicting intensive care unit (ICU) patient response to glycemic control protocols while accounting for patient heterogeneity and variations in care. MATERIALS AND METHODS: Using electronic m...

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Detalles Bibliográficos
Autores principales: Fitzgerald, Oisin, Perez-Concha, Oscar, Gallego, Blanca, Saxena, Manoj K, Rudd, Lachlan, Metke-Jimenez, Alejandro, Jorm, Louisa
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2021
Materias:
Research and Applications
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8324237/
https://www.ncbi.nlm.nih.gov/pubmed/33871017
http://dx.doi.org/10.1093/jamia/ocab060

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8324237/
https://www.ncbi.nlm.nih.gov/pubmed/33871017
http://dx.doi.org/10.1093/jamia/ocab060

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