A practical machine learning approach to identifying adverse effects due to COVID-19 vaccines
- DOI
- 10.1590/1413-812320263110.03992024
- Published
- 2026
- Container
- Ciência & Saúde Coletiva
- Publisher
- FapUNIFESP (SciELO)
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1590/1413-812320263110.03992024,
title = {A practical machine learning approach to identifying adverse effects due to COVID-19 vaccines},
author = {Elias de França and Camila G. Marques and Geovana S. Fogaça Leite and Ana Carolina O. Magalhães and Erico C. Caperuto and Ronaldo Vagner Thomatieli-Santos},
year = {2026},
journal = {Ciência \& Saúde Coletiva},
doi = {10.1590/1413-812320263110.03992024},
url = {https://doi.org/10.1590/1413-812320263110.03992024}
}RIS
TY - JOUR TI - A practical machine learning approach to identifying adverse effects due to COVID-19 vaccines AU - Elias de França AU - Camila G. Marques AU - Geovana S. Fogaça Leite AU - Ana Carolina O. Magalhães AU - Erico C. Caperuto AU - Ronaldo Vagner Thomatieli-Santos PY - 2026 JO - Ciência & Saúde Coletiva DO - 10.1590/1413-812320263110.03992024 UR - https://doi.org/10.1590/1413-812320263110.03992024 ER -
APA
França, E. D., Marques, C. G., Leite, G. S. F., Magalhães, A. C. O., Caperuto, E. C., & Thomatieli-Santos, R. V. (2026). A practical machine learning approach to identifying adverse effects due to COVID-19 vaccines. Ciência & Saúde Coletiva. https://doi.org/10.1590/1413-812320263110.03992024
Source records
- crossref · retrieved 2026-11-07T02:53:24.807Z