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Identification of Preterm Labor Evaluation Visits and Extraction of Cervical Length Measures from Electronic Health Records Within a Large Integrated Health Care System: Algorithm Development and Validation.

Fagen XieNehaa KhadkaMichael J FassettVicki Y ChiuChantal C AvilaJiaxiao M ShiMeiyu YehAniket A KawatkarNana A MensahDavid A SacksDarios Getahun
Published in: JMIR medical informatics (2022)
The developed computerized algorithm effectively identified PTL evaluation visits and extracted the corresponding CL measures from the EHRs. Validation against this algorithm achieved a high level of accuracy. This computerized algorithm can be used for conducting PTL- or PTB-related pharmacoepidemiologic studies and patient care reviews.
Keyphrases
  • machine learning
  • electronic health record
  • deep learning
  • clinical decision support
  • neural network
  • randomized controlled trial
  • low birth weight
  • preterm infants
  • adverse drug
  • clinical evaluation