Explainable AI for public health surveillance: investigating the persistent crisis of intentional injury mortality (suicide and homicide) in the Americas.
- DOI
- 10.1038/s41598-026-51327-y
- Published
- 2026 May 24
- Container
- Scientific reports
- Publisher
- Not recorded
- Open access
- yes
Credibility signals
limited evidence Score 45/100 under policy 1.0.0. This is a metadata assessment, not a judgment of the paper's conclusions.
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Cite this work
BibTeX
@article{allodium:10.1038/s41598-026-51327-y,
title = {Explainable AI for public health surveillance: investigating the persistent crisis of intentional injury mortality (suicide and homicide) in the Americas.},
author = {Kularathne S and Rathnayake N and Jayathilaka R and Nakaoka I and Hoshino Y},
year = {2026},
journal = {Scientific reports},
doi = {10.1038/s41598-026-51327-y},
url = {https://doi.org/10.1038/s41598-026-51327-y}
}RIS
TY - JOUR TI - Explainable AI for public health surveillance: investigating the persistent crisis of intentional injury mortality (suicide and homicide) in the Americas. AU - Kularathne S AU - Rathnayake N AU - Jayathilaka R AU - Nakaoka I AU - Hoshino Y PY - 2026 JO - Scientific reports DO - 10.1038/s41598-026-51327-y UR - https://doi.org/10.1038/s41598-026-51327-y ER -
APA
S, K., N, R., R, J., I, N., & Y, H. (2026). Explainable AI for public health surveillance: investigating the persistent crisis of intentional injury mortality (suicide and homicide) in the Americas.. Scientific reports. https://doi.org/10.1038/s41598-026-51327-y
Source records
- pubmed · retrieved 2026-09-26T11:29:22.003Z