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Machine learning-based prognostic and metastasis models of kidney cancer.

Yuxiang ZhangYun LongSida HuangJie WuJianwei GaoZheng XuFubo ZhangShaohui MaYe LiuPeiyuan SunYanping TangChun LiuJianzhong ShouMeng Chen
Published in: Cancer innovation (2022)
In this study, we selected appropriate variables from both statistical and clinical significance and developed and compared eight machine learning models for predicting 3-year survival and metastasis of kidney cancer. The prediction results and evaluation results demonstrated that our model could provide decision support for early intervention for kidney cancer patients.
Keyphrases
  • machine learning
  • papillary thyroid
  • squamous cell
  • randomized controlled trial
  • artificial intelligence
  • squamous cell carcinoma
  • childhood cancer