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Natural language processing systems for pathology parsing in limited data environments with uncertainty estimation.

Anobel Y OdishoBriton ParkNicholas AltieriJohn DeNeroMatthew R CooperbergPeter R CarrollBin Yu
Published in: JAMIA open (2020)
We find that when applying machine learning to pathology parsing, large datasets may not always be needed, and that calibration methods can improve the reliability of uncertainty estimates.
Keyphrases
  • machine learning
  • big data
  • electronic health record
  • autism spectrum disorder
  • artificial intelligence
  • deep learning
  • data analysis