This paper is in the following e-collection/theme issue:

Opioid and Related Substance Misuse (128) Natural Language Processing (650) Machine Learning (1400) Pharmacovigilance (129) Adverse Drug Events Detection, Pharmacovigilance and Surveillance (147)

Published on in Vol 9 (2023)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/45246, first published .
Using Natural Language Processing to Predict Fatal Drug Overdose From Autopsy Narrative Text: Algorithm Development and Validation Study

Using Natural Language Processing to Predict Fatal Drug Overdose From Autopsy Narrative Text: Algorithm Development and Validation Study

Using Natural Language Processing to Predict Fatal Drug Overdose From Autopsy Narrative Text: Algorithm Development and Validation Study

Authors of this article:

Leigh Anne Tang1, 2 Author Orcid Image ;   Jessica Korona-Bailey2 Author Orcid Image ;   Dimitrios Zaras2 Author Orcid Image ;   Allison Roberts2 Author Orcid Image ;   Sutapa Mukhopadhyay2 Author Orcid Image ;   Stephen Espy2 Author Orcid Image ;   Colin G Walsh1 Author Orcid Image
Article Authors Cited by (3) Tweetations (6) Metrics

Leigh Anne Tang   1, 2 , MS ;   Jessica Korona-Bailey   2 , MPH ;   Dimitrios Zaras   2 , PhD ;   Allison Roberts   2 , PhD ;   Sutapa Mukhopadhyay   2 , PhD ;   Stephen Espy   2 , MS ;   Colin G Walsh   1 , MA, MD

1 Department of Biomedical Informatics, Vanderbilt University Medical Center, Nashville, TN, United States

2 Office of Informatics and Analytics, Tennessee Department of Health, Nashville, TN, United States

Corresponding Author:

  • Leigh Anne Tang, MS
  • Department of Biomedical Informatics
  • Vanderbilt University Medical Center
  • 2525 West End Avenue
  • Suite 1475
  • Nashville, TN, 37203
  • United States
  • Phone: 1 510 366 1022
  • Email: leigh.a.tang@vanderbilt.edu