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Explainable and visualizable machine learning models to predict biochemical recurrence of prostate cancer.

Wenhao LuLin ZhaoShenfan WangHuiyong ZhangKangxian JiangJin JiShaohua ChenChengbang WangChunmeng WeiRongbin ZhouZuheng WangXiao LiFu-Bo WangXuedong WeiWenlei Hou
Published in: Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico (2024)
Our score system provide reference for the identification for BCR, and the crafting of a framework for making therapeutic decisions for PCa on a personalized basis.
Keyphrases
  • prostate cancer
  • machine learning
  • radical prostatectomy
  • acute lymphoblastic leukemia
  • tyrosine kinase
  • chronic myeloid leukemia
  • artificial intelligence
  • free survival
  • bioinformatics analysis
  • big data
  • deep learning