Development of machine learning-based mpox surveillance models in a learning health system
- DOI
- 10.1136/sextrans-2024-056382
- Published
- 2025-05-02
- Container
- Sexually Transmitted Infections
- Publisher
- BMJ
- Open access
- unknown
Credibility signals
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Cite this work
BibTeX
@article{allodium:10.1136/sextrans-2024-056382,
title = {Development of machine learning-based mpox surveillance models in a learning health system},
author = {Harry Reyes Nieva and Jason Zucker and Emma Tucker and Jacob McLean and Clare DeLaurentis and Shauna Gunaratne and Noémie Elhadad},
year = {2025},
journal = {Sexually Transmitted Infections},
doi = {10.1136/sextrans-2024-056382},
url = {https://doi.org/10.1136/sextrans-2024-056382}
}RIS
TY - JOUR TI - Development of machine learning-based mpox surveillance models in a learning health system AU - Harry Reyes Nieva AU - Jason Zucker AU - Emma Tucker AU - Jacob McLean AU - Clare DeLaurentis AU - Shauna Gunaratne AU - Noémie Elhadad PY - 2025 JO - Sexually Transmitted Infections DO - 10.1136/sextrans-2024-056382 UR - https://doi.org/10.1136/sextrans-2024-056382 ER -
APA
Nieva, H. R., Zucker, J., Tucker, E., McLean, J., DeLaurentis, C., Gunaratne, S., & Elhadad, N. (2025). Development of machine learning-based mpox surveillance models in a learning health system. Sexually Transmitted Infections. https://doi.org/10.1136/sextrans-2024-056382
Source records
- crossref · retrieved 2026-09-25T16:29:08.069Z