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A machine learning approach to identifying delirium from electronic health records

The identification of delirium in electronic health records (EHRs) remains difficult due to inadequate assessment or under-documentation. The purpose of this research is to present a classification model that identifies delirium using retrospective EHR data. Delirium was confirmed with the Confusion...

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Detalles Bibliográficos
Autores principales:	Kim, Jae Hyun, Hua, May, Whittington, Robert A, Lee, Junghwan, Liu, Cong, Ta, Casey N, Marcantonio, Edward R, Goldberg, Terry E, Weng, Chunhua
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	Oxford University Press 2022
Materias:	Brief Communication
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9152701/ https://www.ncbi.nlm.nih.gov/pubmed/35663114 http://dx.doi.org/10.1093/jamiaopen/ooac042

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