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Updated: Jun 28, 2025

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利用手术期间的呼吸系统动态特征来开发和验证术后肺部并发症的可解释机器学习模型.

Peiyi Li1, Shuanliang Gao2, Yaqiang Wang3

  • 1Department of Anesthesiology, West China Hospital, Sichuan University, Chengdu, Sichuan, China; Laboratory of Anesthesia and Critical Care Medicine, National-Local Joint Engineering Research Centre of Translational Medicine of Anesthesiology, West China Hospital, Sichuan University, Chengdu, Sichuan, China; The Research Units of West China (2018RU012)-Chinese Academy of Medical Sciences, West China Hospital, Sichuan University, Chengdu, Sichuan, China.

British journal of anaesthesia
|April 18, 2024
PubMed
概括

机器学习模型使用手术内数据准确预测术后肺部并发症 (PPC). 这使得个性化通风策略能够减少手术患者的肺损伤.

关键词:
动态的呼吸系统特征.在手术内进行通风的策略.机器学习模型机器学习模型手术后的肺部并发症实时风险预测和预测.

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