Machine learning for prediction of delirium in patients with extensive burns after surgery

AIMS: Machine learning‐based identification of key variables and prediction of postoperative delirium in patients with extensive burns. METHODS: Five hundred and eighteen patients with extensive burns who underwent surgery were included and randomly divided into a training set, a validation set, and...

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Detalles Bibliográficos
Autores principales: Ren, Yujie, Zhang, Yu, Zhan, Jianhua, Sun, Junfeng, Luo, Jinhua, Liao, Wenqiang, Cheng, Xing
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2023
Materias:
Original Articles
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10493655/
https://www.ncbi.nlm.nih.gov/pubmed/37122154
http://dx.doi.org/10.1111/cns.14237

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10493655/
https://www.ncbi.nlm.nih.gov/pubmed/37122154
http://dx.doi.org/10.1111/cns.14237

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