Machine learning for initial insulin estimation in hospitalized patients

OBJECTIVE: The study sought to determine whether machine learning can predict initial inpatient total daily dose (TDD) of insulin from electronic health records more accurately than existing guideline-based dosing recommendations. MATERIALS AND METHODS: Using electronic health records from a tertiar...

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Detalles Bibliográficos
Autores principales: Nguyen, Minh, Jankovic, Ivana, Kalesinskas, Laurynas, Baiocchi, Michael, Chen, Jonathan H
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/PMC8449602/
https://www.ncbi.nlm.nih.gov/pubmed/34279615
http://dx.doi.org/10.1093/jamia/ocab099

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8449602/
https://www.ncbi.nlm.nih.gov/pubmed/34279615
http://dx.doi.org/10.1093/jamia/ocab099

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