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Updated: Jul 9, 2026

An Experimental Paradigm for the Prediction of Post-Operative Pain (PPOP)
14:56

An Experimental Paradigm for the Prediction of Post-Operative Pain (PPOP)

Published on: January 27, 2010

基于机器学习的诱导后低血压的预测:识别风险因素和增强麻醉管理

Ming Chen1,2, Dingyu Zhang3,4,5

  • 1Department of Anesthesiology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430022, China.

BMC medical informatics and decision making
|February 22, 2025
PubMed
概括

机器学习确定了诱导后低血压 (PIH) 的危险因素,这种情况会增加手术并发症. 后勤回归最好预测PIH,使个性化麻醉管理和改善患者的结果.

关键词:
后勤回归的逻辑回归机器学习 机器学习个性化医疗是个性化的医疗.在诱导后的低血压下.风险因素 风险因素

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