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Using a machine learning approach to identify key prognostic molecules for esophageal squamous cell carcinoma.

Meng-Xiang LiXiao-Meng SunWei-Gang ChengHao-Jie RuanKe LiuPan ChenHai-Jun XuShe-Gan GaoXiao-Shan FengYi-Jun Qi
Published in: BMC cancer (2021)
The occurrence frequencies across various feature selection approaches reflect the degree of clinical importance and stratifin is an optimal prognostic biomarker for ESCC.
Keyphrases
  • machine learning
  • risk assessment
  • artificial intelligence