Development of postoperative delirium prediction models in patients undergoing cardiovascular surgery using machine learning algorithms

Development of postoperative delirium prediction models in patients undergoing cardiovascular surgery using machine learning algorithms

Abstract Associations between delirium and postoperative adverse events in cardiovascular surgery have been reported and the preoperative identification of high-risk patients of delirium is needed to implement focused interventions. We aimed to develop and validate machine learning models to predict...

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Bibliographic Details
Main Authors: Chie Nagata, Masahiro Hata, Yuki Miyazaki, Hirotada Masuda, Tamiki Wada, Tasuku Kimura, Makoto Fujii, Yasushi Sakurai, Yasuko Matsubara, Kiyoshi Yoshida, Shigeru Miyagawa, Manabu Ikeda, Takayoshi Ueno
Format: Article
Language:English
Published: Nature Portfolio 2023-11-01
Series:Scientific Reports
Online Access:https://doi.org/10.1038/s41598-023-48418-5

Internet

https://doi.org/10.1038/s41598-023-48418-5

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