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Identification of endometrial cancer recurrence - a validated algorithm based on nationwide Danish registries.

Linda Aagaard RasmussenHenry JensenLine Flytkjaer VirgilsenMette Moustgaard JeppesenJan BlaakærDorte Gilså HansenPernille Tine JensenOle MogensenPeter Vedsted
Published in: Acta oncologica (Stockholm, Sweden) (2020)
The algorithm demonstrated good performance; it could be a valuable tool for future research in endometrial cancer recurrence and may facilitate studies with potential impact on clinical practice.
Keyphrases
  • endometrial cancer
  • clinical practice
  • machine learning
  • deep learning
  • free survival
  • current status
  • neural network
  • cross sectional
  • case control
  • human health