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Combining human and machine intelligence for clinical trial eligibility querying.

Yilu FangBetina R IdnayYingcheng SunHao LiuZhehuan ChenKaren MarderHua XuRebecca SchnallChunhua Weng
Published in: Journal of the American Medical Informatics Association : JAMIA (2022)
Features to engage domain experts and to overcome the limitations in automated machine output are shown to be useful and user-friendly. We concluded that human-computer collaboration is key to improving the adoption and user-friendliness of natural language processing.
Keyphrases
  • deep learning
  • endothelial cells
  • clinical trial
  • induced pluripotent stem cells
  • machine learning
  • autism spectrum disorder
  • open label
  • double blind
  • phase ii
  • phase iii