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Construction of a predictive model of post-intubation hypotension in critically ill patients using multiple machine learning classifiers.

作者信息

Zhou Cheng-Mao, Xue Qiong, Liu Panmiao, Duan Wen, Wang Ying, Tong Jianhua, Ji Mu-Huo, Yang Jian-Jun

机构信息

Department of Anesthesiology, Pain and Perioperative Medicine, The First Affiliated Hospital of Zhengzhou University, Zhengzhou 450000, China.

Department of Anesthesiology, Pain and Perioperative Medicine, The First Affiliated Hospital of Zhengzhou University, Zhengzhou 450000, China.

出版信息

J Clin Anesth. 2021 Sep;72:110279. doi: 10.1016/j.jclinane.2021.110279. Epub 2021 Apr 7.

DOI:10.1016/j.jclinane.2021.110279
PMID:33838535
Abstract
摘要

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Construction of a predictive model of post-intubation hypotension in critically ill patients using multiple machine learning classifiers.使用多种机器学习分类器构建危重症患者插管后低血压的预测模型。
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Machine learning-based prediction of post-induction hypotension: identifying risk factors and enhancing anesthesia management.基于机器学习的诱导后低血压预测：识别风险因素并加强麻醉管理。
BMC Med Inform Decis Mak. 2025 Feb 22;25(1):96. doi: 10.1186/s12911-025-02930-y.
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Machine learning approach for predicting post-intubation hemodynamic instability (PIHI) index values: towards enhanced perioperative anesthesia quality and safety.机器学习预测插管后血流动力学不稳定指数（PIHI）值的方法：提高围手术期麻醉质量和安全性。
BMC Anesthesiol. 2024 Apr 9;24(1):136. doi: 10.1186/s12871-024-02523-8.
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A Nomogram Model for Post-Intubation Hypotension in Patients with Severe Pneumonia in the Emergency Department.
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