Temporal Generalizability of Machine Learning Models for Predicting Postoperative Delirium Using Electronic Health Record Data: Model Development and Validation Study

BACKGROUND: Although machine learning models demonstrate significant potential in predicting postoperative delirium, the advantages of their implementation in real-world settings remain unclear and require a comparison with conventional models in practical applications. OBJECTIVE: The objective of t...

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Detalles Bibliográficos
Autores principales: Matsumoto, Koutarou, Nohara, Yasunobu, Sakaguchi, Mikako, Takayama, Yohei, Fukushige, Syota, Soejima, Hidehisa, Nakashima, Naoki, Kamouchi, Masahiro
Formato: Online Artículo Texto
Lenguaje:English
Publicado: JMIR Publications 2023
Materias:
Original Paper
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10636625/
https://www.ncbi.nlm.nih.gov/pubmed/37883164
http://dx.doi.org/10.2196/50895

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10636625/
https://www.ncbi.nlm.nih.gov/pubmed/37883164
http://dx.doi.org/10.2196/50895

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