Postoperative delirium prediction using machine learning models and preoperative electronic health record data

BACKGROUND: Accurate, pragmatic risk stratification for postoperative delirium (POD) is necessary to target preventative resources toward high-risk patients. Machine learning (ML) offers a novel approach to leveraging electronic health record (EHR) data for POD prediction. We sought to develop and i...

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Detalles Bibliográficos
Autores principales: Bishara, Andrew, Chiu, Catherine, Whitlock, Elizabeth L., Douglas, Vanja C., Lee, Sei, Butte, Atul J., Leung, Jacqueline M., Donovan, Anne L.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2022
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8722098/
https://www.ncbi.nlm.nih.gov/pubmed/34979919
http://dx.doi.org/10.1186/s12871-021-01543-y

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8722098/
https://www.ncbi.nlm.nih.gov/pubmed/34979919
http://dx.doi.org/10.1186/s12871-021-01543-y

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