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Machine learning model successfully identifies important clinical features for predicting outpatients with rotator cuff tears.

Cheng LiYamuhanmode AlikeJingyi HouYi LongZhenze ZhengKe MengJingyi Hou
Published in: Knee surgery, sports traumatology, arthroscopy : official journal of the ESSKA (2023)
Level III.
Keyphrases
  • rotator cuff
  • machine learning
  • genome wide
  • artificial intelligence
  • big data
  • gene expression