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

Internet

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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