成人脊柱畸形手术后患者满意度的机器学习模型
Zheng Wang1,2, Qijun Wang1,2, Wei Wang1,2
11Department of Orthopedics, Xuanwu Hospital, Capital Medical University, Beijing, Xicheng District, China; and.
Journal of neurosurgery. Spine
|January 22, 2026
まとめ
成人脊柱畸形手术后患者满意度的预测现在是可能的。改进的功能和实现临床里程碑等关键因素对结果有显著影响,有助于个性化康复策略。
科学分野:
- 脊柱外科;骨科;医学机器学习
背景:
- 患者满意度是评估成人脊柱畸形(ASD)手术结果的关键指标。;ASD患者满意度的预测因素尚未得到充分确立。
研究 の 目的:
- 开发和验证成人脊柱畸形(ASD)手术后24个月患者满意度的预测模型。;确定影响ASD手术后患者满意度的关键指标。
主な方法:
- 利用机器学习算法(LASSO、RFE、Boruta)对213名ASD患者的数据集进行分析。;使用128名训练患者和85名测试患者开发并验证了逻辑回归模型。;采用SHAP分析确定满意度预测的特征重要性。
主要な成果:
- 术后满意度的9个关键指标已确定。;预测模型在测试集中达到了0.846的AUC和0.812的准确率。;重要的预测因素包括WOMAC功能的改善、无衰弱以及影像学检查的改善。
結論:
- 开发的模型为ASD患者提供了个性化的预后信息。;外科医生可以利用这些可修改的指标来指导术后康复并提高患者满意度。
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