Machine-learning predicts time-series prognosis factors in metastatic prostate cancer patients treated with androgen deprivation therapy

HIGHLIGHTS

• who: Shinpei Saito from the DepartmentChiba University, Kisarazu, Chiba, Japan have published the Article: Machine-learning predicts time-series prognosis factors in metastatic prostate cancer patients treated with androgen deprivation therapy, in the Journal: Scientific Reports Scientific Reports
• what: In this analysis, the C-indices of the Cox proportional hazards model and prediction model using only PSA were calculated for comparison with the RSF model (Fig 2). Since the contribution of post-treatment PSA was predominantly large in predicting PFS prognosis, and the benefit of combining multiple variables by survival tree was limited, the authors . . .
  

   

  

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