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A Validated Register-Based Algorithm to Identify Patients Diagnosed with Recurrence of Surgically Treated Stage I Lung Cancer in Denmark.

Linda Aagaard RasmussenNiels Lyhne ChristensenAnne Winther-LarsenSusanne Oksbjerg DaltonLine Flytkjaer VirgilsenHenry JensenPeter Vedsted
Published in: Clinical epidemiology (2023)
The proposed algorithm demonstrated good performance in a population with 33% recurrences over a median of 29 months. It can be used to identify patients diagnosed with recurrent lung cancer, and it may be a valuable tool for future research in this field. However, a lower positive predictive value is seen when applying the algorithm in populations with low recurrence rates.
Keyphrases
  • end stage renal disease
  • newly diagnosed
  • machine learning
  • ejection fraction
  • chronic kidney disease
  • deep learning
  • peritoneal dialysis
  • prognostic factors
  • patient reported outcomes
  • genetic diversity