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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...
Autores principales: | Fitzgerald, Oisin, Perez-Concha, Oscar, Gallego, Blanca, Saxena, Manoj K, Rudd, Lachlan, Metke-Jimenez, Alejandro, Jorm, Louisa |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2021
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Materias: | |
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 |
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