Nature Communications (Apr 2021)

Ontology-driven weak supervision for clinical entity classification in electronic health records

  • Jason A. Fries,
  • Ethan Steinberg,
  • Saelig Khattar,
  • Scott L. Fleming,
  • Jose Posada,
  • Alison Callahan,
  • Nigam H. Shah

DOI
https://doi.org/10.1038/s41467-021-22328-4
Journal volume & issue
Vol. 12, no. 1
pp. 1 – 11

Abstract

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In the electronic health record, using clinical notes to identify entities such as disorders and their temporality can inform many important analyses. Here, the authors present a framework for weakly supervised entity classification using medical ontologies and expert-generated rules.