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Updated: May 15, 2025

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一个基于机器学习的风险评估模型,用于治疗不良的术后疼痛结果

Claudia Kagerer1,2, Stefanie Jauk1, Diether Kramer1

  • 1Steiermärkische Krankenanstaltengesellschaft m. b. H., Graz, Austria.

Studies in health technology and informatics
|April 24, 2025
PubMed
概括

这项研究开发了一种机器学习模型,以预测可能经历严重术后疼痛的患者. 梯度提升机算法实现了0.82的AUROC,为有针对性的疼痛管理提供了一个有希望的工具.

关键词:
人工智能的人工智能电子健康记录电子健康记录机器学习 机器学习疼痛 疼痛 疼痛 疼痛疼痛管理 疼痛管理术后治疗 术后治疗风险评估 风险评估

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Pain is critical to various clinical pathologies, provoking an urgent need for effective management. Pain, whether acute or chronic, is a complex neurochemical process. Its alleviation depends on the type, with nonopioid analgesics effective for mild to moderate pain, such as musculoskeletal or inflammatory pain, while neuropathic pain responds best to anticonvulsants, tricyclic antidepressants, or serotonin/norepinephrine reuptake inhibitors. For severe acute or chronic pain, opioids may be...
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