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Identifying Recurrences Among Non-Metastatic Colorectal Cancer Patients Using National Health Data Registries: Validation and Optimization of a Registry-Based Algorithm in a Modern Danish Cohort.

Jesper NorsTrine Block MattesenDeirdre P Cronin-FentonAurelie MailhacJesper Bertram BramsenKåre Andersson GotschalckRune ErichsenClaus Lindbjerg Andersen
Published in: Clinical epidemiology (2023)
The algorithm detected recurrence and TTR with high precision in this contemporary cohort. Restriction to chemotherapy codes from oncology departments using department classifications improves the algorithm. The algorithm is suitable for use in future observational studies.
Keyphrases
  • machine learning
  • deep learning
  • neural network
  • squamous cell carcinoma
  • small cell lung cancer
  • palliative care
  • big data
  • artificial intelligence
  • radiation therapy
  • tertiary care
  • free survival