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Predicting bowel function after diverting stoma closure in patients with rectal cancer.

Zhang WangShengli ShaoLu LiuQiyi LuLei MuJichao Qin
Published in: Journal of gastrointestinal oncology (2024)
This study developed a machine learning model to predict major LARS in rectal cancer patients after diverting stoma closure, aiding their decision-making and counseling.
Keyphrases
  • rectal cancer
  • machine learning
  • decision making
  • locally advanced
  • artificial intelligence
  • squamous cell carcinoma
  • human immunodeficiency virus