From risk factors to predictive modelling: applying machine learning to childhood malaria surveillance in resource-limited settings
- DOI
- 10.1186/s12879-025-12116-6
- Published
- 2025-12-04
- Container
- BMC Infectious Diseases
- Publisher
- Springer Science and Business Media LLC
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1186/s12879-025-12116-6,
title = {From risk factors to predictive modelling: applying machine learning to childhood malaria surveillance in resource-limited settings},
author = {Joseph Opeolu Ashaolu and Taiwo S. Akanji and Victoria I. Ayansola and Olajumoke O. Olawale-Succes and Agbolade J. Sunday and Sylvain Y. M. Some},
year = {2025},
journal = {BMC Infectious Diseases},
doi = {10.1186/s12879-025-12116-6},
url = {https://doi.org/10.1186/s12879-025-12116-6}
}RIS
TY - JOUR TI - From risk factors to predictive modelling: applying machine learning to childhood malaria surveillance in resource-limited settings AU - Joseph Opeolu Ashaolu AU - Taiwo S. Akanji AU - Victoria I. Ayansola AU - Olajumoke O. Olawale-Succes AU - Agbolade J. Sunday AU - Sylvain Y. M. Some PY - 2025 JO - BMC Infectious Diseases DO - 10.1186/s12879-025-12116-6 UR - https://doi.org/10.1186/s12879-025-12116-6 ER -
APA
Ashaolu, J. O., Akanji, T. S., Ayansola, V. I., Olawale-Succes, O. O., Sunday, A. J., & Some, S. Y. M. (2025). From risk factors to predictive modelling: applying machine learning to childhood malaria surveillance in resource-limited settings. BMC Infectious Diseases. https://doi.org/10.1186/s12879-025-12116-6
Source records
- crossref · retrieved 2026-09-26T23:03:26.581Z