Using Natural Language Processing Methods to Predict Topics Included in 2019 Ohio Syphilis Disease Intervention Specialist Records.

Journal: Sexually transmitted diseases
Published Date: Feb 11, 2025

Abstract

BACKGROUND: Free-text notes in disease intervention specialist (DIS) records may contain relevant information for sexual transmitted infection control. In their current form, the notes are not analyzable without manual reading, which is labor-intensive and prone to error.

Authors

  • Payal Chakraborty
    Department of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston, Massachusetts; Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, Massachusetts.
  • Xia Ning
    Department of Biomedical Informatics, the Department of Computer Science and Engineering, and the Translational Data Analytics Institute, The Ohio State University, Columbus, OH, 43210.
  • Mary McNeill
    Ohio Department of Health, Columbus, OH.
  • David M Kline
    Division of Public Health Sciences, Department of Biostatistics and Data Science, Wake Forest University School of Medicine, Winston-Salem, NC.
  • Abigail B Shoben
    Division of Biostatistics, College of Public Health, The Ohio State University, Columbus, OH.
  • William C Miller
    Division of Epidemiology, The Ohio State University, Columbus, Ohio.
  • Abigail Norris Turner

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