Longitudinal validation of an electronic health record delirium prediction model applied at admission in COVID-19 patients

OBJECTIVE: To validate a previously published machine learning model of delirium risk in hospitalized patients with coronavirus disease 2019 (COVID-19). METHOD: Using data from six hospitals across two academic medical networks covering care occurring after initial model development, we calculated t...

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Detalles Bibliográficos
Autores principales: Castro, Victor M., Hart, Kamber L., Sacks, Chana A., Murphy, Shawn N., Perlis, Roy H., McCoy, Thomas H.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier Inc. 2022
Materias:
Research Paper
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8562039/
https://www.ncbi.nlm.nih.gov/pubmed/34798580
http://dx.doi.org/10.1016/j.genhosppsych.2021.10.005

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8562039/
https://www.ncbi.nlm.nih.gov/pubmed/34798580
http://dx.doi.org/10.1016/j.genhosppsych.2021.10.005

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