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可解释的机器学习模型可以预测腹腔镜切除直肠癌手术难度

Miao Yu1, Zihan Yuan1, Ruijie Li1

  • 1Department of General Surgery, The First Affiliated Hospital of Soochow University, Suzhou, China.

Frontiers in oncology
|February 21, 2024
PubMed
概括

这项研究开发了一种XGBoost模型,用于预测腹腔镜全腹膜切除术 (LaTME) 对于直肠癌的手术难度. 该模型准确地识别了具有挑战性的病例,使个性化手术方法能够获得更好的患者结果.

关键词:
沙普利添加剂的解释机器学习是机器学习.皮层测量 皮层测量 皮层测量预测模型 预测模型这是直肠癌.手术上的困难.

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