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Machine learning based prediction of recurrence after curative resection for rectal cancer.

Youngbae JeonYoung-Jae KimJisoo JeonKug-Hyun NamTae-Sik HwangYeoun Jae KimJeong-Heum Baek
Published in: PloS one (2023)
In the current study, SVM showed the best AUC, and the most influential factor across all machine learning methods except LR was found to be pT. The rectal cancer patients who have a high pT stage during postoperative follow-up are need to be more close surveillance.
Keyphrases
  • rectal cancer
  • machine learning
  • locally advanced
  • artificial intelligence
  • public health
  • big data
  • patients undergoing
  • deep learning
  • radiation therapy
  • squamous cell carcinoma
  • prognostic factors