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](https://asset.jmir.pub/assets/db9076c0325028b9ad90d30a5960009a.png 480w,https://asset.jmir.pub/assets/db9076c0325028b9ad90d30a5960009a.png 960w,https://asset.jmir.pub/assets/db9076c0325028b9ad90d30a5960009a.png 1920w,https://asset.jmir.pub/assets/db9076c0325028b9ad90d30a5960009a.png 2500w)
Journals
- 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
- Ezell J, Ajayi B, Parikh T, Miller K, Rains A, Scales D. Drug Use and Artificial Intelligence: Weighing Concerns and Possibilities for Prevention. American Journal of Preventive Medicine 2024;66(3):568 View
- Sacco M, Gualtieri S, Tarallo A, Tarda L, Verrina M, Costa A, Aquila I. A Review of the Literature on Episodes of Acute Fentanyl Intoxication in Pediatric Age and Toxicological Applications. Toxics 2024;12(8):534 View