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Applications of Machine Learning to Predict Cisplatin Resistance in Lung Cancer.

Yanan GaoQiong LyuPeng LuoMujiao LiRui ZhouJian ZhangQingwen Lyu
Published in: International journal of general medicine (2021)
In this study, we found that a panel of nine genes can accurately predict sensitivity to cisplatin, which may provide individualized treatment recommendations to improve the prognosis of patients with lung cancer.
Keyphrases
  • machine learning
  • genome wide
  • clinical practice
  • artificial intelligence
  • big data
  • transcription factor
  • smoking cessation