LeafAI: query generator for clinical cohort discovery rivaling a human programmer.

Journal: Journal of the American Medical Informatics Association : JAMIA
Published Date: Nov 17, 2023

Abstract

OBJECTIVE: Identifying study-eligible patients within clinical databases is a critical step in clinical research. However, accurate query design typically requires extensive technical and biomedical expertise. We sought to create a system capable of generating data model-agnostic queries while also providing novel logical reasoning capabilities for complex clinical trial eligibility criteria.

Authors

  • Nicholas J Dobbins
    Department of Biomedical Informatics and Medical Education, University of Washington, Seattle, Washington, USA.
  • Bin Han
    2 Department of Radiation Oncology, Stanford University, Stanford, CA, USA.
  • Weipeng Zhou
    Department of Biomedical Informatics & Medical Education, University of Washington, Seattle, Washington, USA.
  • Kristine F Lan
    Department of Medicine, University of Washington, Seattle, Washington, USA.
  • H Nina Kim
    Department of Medicine, University of Washington, Seattle, Washington, USA.
  • Robert Harrington
    Department of Medicine, University of Washington, Seattle, Washington, USA.
  • Ozlem Uzuner
    Department of Information Studies, University at Albany, SUNY. Albany, NY.
  • Meliha Yetisgen
    Departments of Biomedical and Health Informatics, University of Washington Medical Center, Seattle2Departments of Linguistics, University of Washington Medical Center, Seattle.

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