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Evaluation of patient-level retrieval from electronic health record data for a cohort discovery task.

Steven R ChamberlinSteven D BedrickAaron M CohenYanshan WangAndrew WenSijia LiuHongfang LiuWilliam R Hersh
Published in: JAMIA open (2020)
While word-based automated methods of cohort retrieval offer an attractive solution to the labor-intensive nature of this task currently used at many medical centers, we generally found suboptimal performance in those approaches, with better performance obtained from structured Boolean queries. Future work will focus on using the test collection to develop and evaluate new approaches to query structure, weighting algorithms, and application of semantic methods.
Keyphrases
  • electronic health record
  • machine learning
  • clinical decision support
  • deep learning
  • high throughput
  • adverse drug
  • healthcare
  • small molecule
  • case report
  • current status
  • big data
  • artificial intelligence