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Updated: Jun 18, 2026

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基于机器学习的基质回归预测模型的比较

Yan Hao1, Mengjie Shan1, Hao Liu1

  • 1Department of Plastic and Cosmetic Surgery, Peking Union Medical College Hospital, Beijing, China.

Journal of cosmetic dermatology
|February 7, 2025
PubMed
概括

机器学习模型可以预测 keloid 复发. 后勤回归模型基于ROC曲线下的面积 (AUC) 显示出最佳的预后性能,这表明它在预测 keloid 复发方面的有效性.

关键词:
凯洛伊德 (Keloid) 是一种类型的物质.机器学习是机器学习.预测模型 预测模型复发性 复发性 复发性有关风险因素的风险因素.

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