Evaluation and enhancement of suspected opioid overdose definitions in emergency medical services data using machine learning with natural language processing

Peter Rock; Svetla Slavova; Sharon L. Walsh; Julia Martin; Daniel R. Harris

doi:10.1371/journal.pone.0347589

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Peer-reviewed

Research Article

Evaluation and enhancement of suspected opioid overdose definitions in emergency medical services data using machine learning with natural language processing

Peter Rock ,

Roles Conceptualization, Data curation, Formal analysis, Methodology, Project administration, Resources, Software, Visualization, Writing – original draft

* E-mail: peter.rock@uky.edu

Affiliation Institute for Biomedical Informatics, University of Kentucky, Lexington, Kentucky, United States of America

https://orcid.org/0000-0002-9893-4084

⨯
Svetla Slavova,

Roles Funding acquisition, Investigation, Project administration, Supervision, Writing – review & editing

Affiliations Department of Biostatistics, College of Public Health, University of Kentucky, Lexington, Kentucky, United States of America, Kentucky Injury Prevention and Research Center, University of Kentucky, Lexington, Kentucky, United States of America
⨯
Sharon L. Walsh,

Roles Investigation, Project administration, Visualization, Writing – review & editing

Affiliations Department of Behavioral Science, College of Medicine, University of Kentucky, Lexington, Kentucky, United States of America, Department of Behavioral Science, Center on Drug and Alcohol Research, University of Kentucky, Lexington, Kentucky, United States of America
⨯
Julia Martin,

Roles Conceptualization, Data curation, Investigation, Methodology, Writing – review & editing

Affiliation Department of Emergency Medicine, University of Kentucky, Lexington, Kentucky, United States of America

https://orcid.org/0000-0001-6121-0237

⨯
Daniel R. Harris

Roles Formal analysis, Investigation, Methodology, Project administration, Supervision, Validation, Visualization, Writing – review & editing

Affiliations Institute for Biomedical Informatics, University of Kentucky, Lexington, Kentucky, United States of America, Institute for Pharmaceutical Outcomes and Policy, Department of Pharmacy Practice and Science, College of Pharmacy, University of Kentucky, Lexington, Kentucky, United States of America
⨯

Evaluation and enhancement of suspected opioid overdose definitions in emergency medical services data using machine learning with natural language processing

Peter Rock,
Svetla Slavova,
Sharon L. Walsh,
Julia Martin,
Daniel R. Harris

Published: April 28, 2026
https://doi.org/10.1371/journal.pone.0347589

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