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Prediction model for postoperative delirium risk in elderly hypertensive patients: machine learning-based development and validation

BackgroundPostoperative delirium (POD) is a severe complication in elderly hypertensive patients, associated with poor long-term outcomes. Existing models often rely on intraoperative data, limiting preoperative risk stratification. This study aimed to develop a non-invasive machine learning model t...

Täydet tiedot

Tallennettuna:
Päätekijät: Kun Wang, Zhengzheng Zhao, Jiayi Chen, Wenjie Kong, Yuanlong Wang, Yizhi Liang, Yanan Lin, Chuan Li, Jiahan Wang, Hongyan Gong, Bin Wang, Xu Lin, Yongxin Liang, Yanlin Bi
Aineistotyyppi: Artigo
Kieli:Inglês
Julkaistu: Frontiers Media S.A. 2026-06-01
Sarja:Frontiers in Psychiatry
Aiheet:
aged
hypertension
machine learning
mortality
postoperative delirium
Linkit:https://www.frontiersin.org/articles/10.3389/fpsyt.2026.1851947/full
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