Development and validation of a machine learning model to predict postoperative delirium using a nationwide database: A retrospective, observational study-Reference-Cited by-同舟云学术

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Development and validation of a machine learning model to predict postoperative delirium using a nationwide database: A retrospective, observational study

Published:2024-09 Issue: Volume:96 Page:111491
ISSN:0952-8180
Container-title:Journal of Clinical Anesthesia
language:en
Short-container-title:Journal of Clinical Anesthesia

Author:

Yoshimura Manabu,Shiramoto Hiroko,Koga Mami,Morimoto Yasuhiro

Publisher

Elsevier BV

Reference31 articles.

1. Evidence-based strategies to reduce the incidence of postoperative delirium: a narrative review;Swarbrick;Anaesthesia,2022

2. Current status of cardiovascular medicine in the aging Society of Japan;Yasuda;Circulation,2018

3. Strategy against aging society with declining birthrate in Japan;Nomura;Ind. Health,2016

4. Japan: super-aging society preparing for the future;Muramatsu;Gerontologist,2011

5. Prevalence of frailty in Japan: a systematic review and meta-analysis;Kojima;J. Epidemiol.,2017

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