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Assessing the Performance of Clinical Natural Language Processing Systems: Development of an Evaluation Methodology.

Lea CanalesSebastian MenkeStephanie MarchesseauAriel D'AgostinoCarlos González-JuanateyMiren TabernaJorge Tello
Published in: JMIR medical informatics (2021)
We showed that our evaluation methodology can offer guidance to NLP experts on how to approach the evaluation of their cNLP systems. By following the five phases, NLP experts can assure the robustness of their evaluation and avoid unnecessary investment of human and financial resources. Besides the theoretical guidance, we offer SLiCE as an easy-to-use, open-source Python library.
Keyphrases
  • endothelial cells
  • magnetic resonance imaging
  • computed tomography
  • magnetic resonance
  • pluripotent stem cells
  • health insurance
  • clinical evaluation