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The pathological risk score: A new deep learning-based signature for predicting survival in cervical cancer.

Chi ChenYuye CaoWeili LiZhenyu LiuPing LiuXin TianCaixia SunWuliang WangHan GaoShan KangShaoguang WangJingying JiangChunlin ChenZhenyu Zhang
Published in: Cancer medicine (2022)
In the present study, we developed an effective signature in cervical cancer for prognosis prediction and patients' stratification in OS and DFS.
Keyphrases
  • deep learning
  • end stage renal disease
  • ejection fraction
  • newly diagnosed
  • chronic kidney disease
  • prognostic factors
  • peritoneal dialysis
  • machine learning
  • patient reported