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Machine learning-based lifetime breast cancer risk reclassification compared with the BOADICEA model: impact on screening recommendations.

Chang MingValeria ViassoloNicole Probst-HenschIvo D DinovPierre O ChappuisMaria C Katapodi
Published in: British journal of cancer (2020)
ML-based reclassification of lifetime breast cancer risk occurred in approximately one in three women. Reclassification is important for younger women because it impacts clinical decision- making for the initiation of screening.
Keyphrases
  • breast cancer risk
  • machine learning
  • decision making
  • artificial intelligence
  • clinical practice
  • type diabetes
  • skeletal muscle