,.

Yihan Sun1, Da Lin2, Xiangyang Deng3

  • 1Department of Thyroid Breast Surgery, The Second Affiliated Hospital and Yuying Children's Hospital of Wenzhou Medical University, Wenzhou, China.

Discover oncology
|January 21, 2025
PubMed
概括

随机生存森林 (RSF) 为形甲状腺癌 (ATC) 患者提供比传统的Cox模型更准确的生存预测. 这种机器学习方法还提供了卓越的预后分层,以改善患者的治疗结果.