Rethinking hyperparameter optimization for efficient and explainable machine learning in civic health decision-making: empirical evidence from malaria severity prediction
- DOI
- 10.1186/s12911-026-03732-6
- Published
- 2026-08-01
- Container
- BMC Medical Informatics and Decision Making
- Publisher
- Springer Science and Business Media LLC
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1186/s12911-026-03732-6,
title = {Rethinking hyperparameter optimization for efficient and explainable machine learning in civic health decision-making: empirical evidence from malaria severity prediction},
author = {Olushina Olawale Awe and Julia Soares de Souza and Erson Kaue Bittencourt Cruz and Olukorede Olabanji Adekunle and Paul J. Owolabi and Emmanuel Olusola Oladeji},
year = {2026},
journal = {BMC Medical Informatics and Decision Making},
doi = {10.1186/s12911-026-03732-6},
url = {https://doi.org/10.1186/s12911-026-03732-6}
}RIS
TY - JOUR TI - Rethinking hyperparameter optimization for efficient and explainable machine learning in civic health decision-making: empirical evidence from malaria severity prediction AU - Olushina Olawale Awe AU - Julia Soares de Souza AU - Erson Kaue Bittencourt Cruz AU - Olukorede Olabanji Adekunle AU - Paul J. Owolabi AU - Emmanuel Olusola Oladeji PY - 2026 JO - BMC Medical Informatics and Decision Making DO - 10.1186/s12911-026-03732-6 UR - https://doi.org/10.1186/s12911-026-03732-6 ER -
APA
Awe, O. O., Souza, J. S. D., Cruz, E. K. B., Adekunle, O. O., Owolabi, P. J., & Oladeji, E. O. (2026). Rethinking hyperparameter optimization for efficient and explainable machine learning in civic health decision-making: empirical evidence from malaria severity prediction. BMC Medical Informatics and Decision Making. https://doi.org/10.1186/s12911-026-03732-6
Source records
- crossref · retrieved 2026-11-10T13:28:42.282Z