Bone metastasis risk and prognosis assessment models for kidney cancer based on machine learning

• Hoofdauteurs: Lichen Ji (Auteur), Wei Zhang (Auteur), Jiaqing Huang (Auteur), Jinlong Tian (Auteur), Xugang Zhong (Auteur), Junchao Luo (Auteur), Senbo Zhu (Auteur), Zeju He (Auteur), Yu Tong (Auteur), Xiang Meng (Auteur), Yao Kang (Auteur), Qing Bi (Auteur)
• Formaat: Boek
• Gepubliceerd in: Frontiers Media S.A., 2022-11-01T00:00:00Z.
• Onderwerpen: article
• Online toegang: Connect to this object online.

BackgroundBone metastasis is a common adverse event in kidney cancer, often resulting in poor survival. However, tools for predicting KCBM and assessing survival after KCBM have not performed well.MethodsThe study uses machine learning to build models for assessing kidney cancer bone metastasis risk...