Use of Natural Language Processing to Identify Sexual and Reproductive Health Information in Clinical Text.

Journal: Methods of information in medicine
PMID: 38122815

Abstract

OBJECTIVES: This study aimed to enable clinical researchers without expertise in natural language processing (NLP) to extract and analyze information about sexual and reproductive health (SRH), or other sensitive health topics, from large sets of clinical notes.

Authors

  • Elizabeth I Harrison
    Department of Pediatrics, UPMC Children's Hospital of Pittsburgh, Pittsburgh, Pennsylvania, United States.
  • Laura A Kirkpatrick
    Department of Pediatrics, UPMC Children's Hospital of Pittsburgh, Pittsburgh, Pennsylvania, United States.
  • Patrick W Harrison
    Data Theoretic, Pittsburgh, Pennsylvania, United States.
  • Traci M Kazmerski
    Department of Pediatrics, UPMC Children's Hospital of Pittsburgh, Pittsburgh, Pennsylvania, United States.
  • Yoshimi Sogawa
    Department of Pediatrics, UPMC Children's Hospital of Pittsburgh, Pittsburgh, Pennsylvania, United States.
  • Harry S Hochheiser
    Department of Biomedical Informatics, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania, United States.

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