Using explainable artificial intelligence for mapping health vulnerability: Interaction-based analysis of multiple sources of data in Latin America.
- DOI
- 10.1007/s11356-025-37051-6
- Published
- 2025 Oct
- Container
- Environmental science and pollution research international
- Publisher
- Not recorded
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1007/s11356-025-37051-6,
title = {Using explainable artificial intelligence for mapping health vulnerability: Interaction-based analysis of multiple sources of data in Latin America.},
author = {Tapia SAA and López AS and Jadán-Guerrero J},
year = {2025},
journal = {Environmental science and pollution research international},
doi = {10.1007/s11356-025-37051-6},
url = {https://doi.org/10.1007/s11356-025-37051-6}
}RIS
TY - JOUR TI - Using explainable artificial intelligence for mapping health vulnerability: Interaction-based analysis of multiple sources of data in Latin America. AU - Tapia SAA AU - López AS AU - Jadán-Guerrero J PY - 2025 JO - Environmental science and pollution research international DO - 10.1007/s11356-025-37051-6 UR - https://doi.org/10.1007/s11356-025-37051-6 ER -
APA
SAA, T., AS, L., & J, J. (2025). Using explainable artificial intelligence for mapping health vulnerability: Interaction-based analysis of multiple sources of data in Latin America.. Environmental science and pollution research international. https://doi.org/10.1007/s11356-025-37051-6
Source records
- pubmed · retrieved 2026-09-26T22:09:53.797Z