Potential of machine learning for prevention and control of neglected tropical diseases: a scoping review
- DOI
- 10.1038/s43856-026-01706-3
- Published
- 2026-06-02
- Container
- Communications Medicine
- Publisher
- Springer Science and Business Media LLC
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1038/s43856-026-01706-3,
title = {Potential of machine learning for prevention and control of neglected tropical diseases: a scoping review},
author = {Ronald Galiwango and Racheal Claire Kyomukama and Sandra Ruth Babirye and Lydia Abolo and Steve Cygu Bicko and Joachim Ssenkaali and Onan Mulumba and Moses Adriko and Rapheal Opon and Andrew Walakira and Daudi Jjingo and Agnes N. Kiragga},
year = {2026},
journal = {Communications Medicine},
doi = {10.1038/s43856-026-01706-3},
url = {https://doi.org/10.1038/s43856-026-01706-3}
}RIS
TY - JOUR TI - Potential of machine learning for prevention and control of neglected tropical diseases: a scoping review AU - Ronald Galiwango AU - Racheal Claire Kyomukama AU - Sandra Ruth Babirye AU - Lydia Abolo AU - Steve Cygu Bicko AU - Joachim Ssenkaali AU - Onan Mulumba AU - Moses Adriko AU - Rapheal Opon AU - Andrew Walakira AU - Daudi Jjingo AU - Agnes N. Kiragga PY - 2026 JO - Communications Medicine DO - 10.1038/s43856-026-01706-3 UR - https://doi.org/10.1038/s43856-026-01706-3 ER -
APA
Galiwango, R., Kyomukama, R. C., Babirye, S. R., Abolo, L., Bicko, S. C., Ssenkaali, J., Mulumba, O., Adriko, M., Opon, R., Walakira, A., Jjingo, D., & Kiragga, A. N. (2026). Potential of machine learning for prevention and control of neglected tropical diseases: a scoping review. Communications Medicine. https://doi.org/10.1038/s43856-026-01706-3
Source records
- crossref · retrieved 2026-09-25T17:26:45.779Z