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

Opioid and Related Substance Abuse Crisis (97) Natural Language Processing (557) Machine Learning (1194) Pharmacovigilance (103) Adverse Drug Events Detection, Pharmacovigilance and Surveillance (111)

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 Tang 1, 2 Author Orcid Image ;   Jessica Korona-Bailey 2 Author Orcid Image ;   Dimitrios Zaras 2 Author Orcid Image ;   Allison Roberts 2 Author Orcid Image ;   Sutapa Mukhopadhyay 2 Author Orcid Image ;   Stephen Espy 2 Author Orcid Image ;   Colin G Walsh 1 Author Orcid Image
Article Authors Cited by (1) Tweetations (6) Metrics

Journals

  1. Orji E, Haydar A, Erşan İ, Mwambe O. Advancing OCR Accuracy in Image-to-LaTeX Conversion—A Critical and Creative Exploration. Applied Sciences 2023;13(22):12503 View