A machine-learning model to predict postoperative delirium following knee arthroplasty using electronic health records

BACKGROUND: Postoperative delirium is a challenging complication due to its adverse outcome such as long hospital stay. The aims of this study were: 1) to identify preoperative risk factors of postoperative delirium following knee arthroplasty, and 2) to develop a machine-learning prediction model....

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Detalles Bibliográficos
Autores principales: Jung, Jong Wook, Hwang, Sunghyun, Ko, Sunho, Jo, Changwung, Park, Hye Youn, Han, Hyuk-Soo, Lee, Myung Chul, Park, Jee Eun, Ro, Du Hyun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2022
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9235137/
https://www.ncbi.nlm.nih.gov/pubmed/35761274
http://dx.doi.org/10.1186/s12888-022-04067-y

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9235137/
https://www.ncbi.nlm.nih.gov/pubmed/35761274
http://dx.doi.org/10.1186/s12888-022-04067-y

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