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Construction and validation of machine learning models for predicting distant metastases in newly diagnosed colorectal cancer patients: A large-scale and real-world cohort study.

Ran WeiGuanhua YuXishan WangZheng JiangXu Guan
Published in: Cancer medicine (2024)
The RF-based model accurately predicted the likelihood of DM and identified patients with CRC in the high-risk group, providing guidance for personalized clinical decision-making.
Keyphrases
  • newly diagnosed
  • machine learning
  • decision making
  • end stage renal disease
  • ejection fraction
  • chronic kidney disease
  • prognostic factors
  • lymph node
  • type diabetes
  • insulin resistance
  • patient reported outcomes