Hybrid probabilistic forecasting of under-five malaria admissions in Ghana: A Gaussian process regression with Holt–Winters smoothing
- DOI
- 10.1016/j.artmed.2026.103508
- Published
- 2026-12
- Container
- Artificial Intelligence in Medicine
- Publisher
- Elsevier BV
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1016/j.artmed.2026.103508,
title = {Hybrid probabilistic forecasting of under-five malaria admissions in Ghana: A Gaussian process regression with Holt–Winters smoothing},
author = {T. Ansah-Narh and Y. Asare Afrane and J. Bremang Tandoh},
year = {2026},
journal = {Artificial Intelligence in Medicine},
doi = {10.1016/j.artmed.2026.103508},
url = {https://doi.org/10.1016/j.artmed.2026.103508}
}RIS
TY - JOUR TI - Hybrid probabilistic forecasting of under-five malaria admissions in Ghana: A Gaussian process regression with Holt–Winters smoothing AU - T. Ansah-Narh AU - Y. Asare Afrane AU - J. Bremang Tandoh PY - 2026 JO - Artificial Intelligence in Medicine DO - 10.1016/j.artmed.2026.103508 UR - https://doi.org/10.1016/j.artmed.2026.103508 ER -
APA
Ansah-Narh, T., Afrane, Y. A., & Tandoh, J. B. (2026). Hybrid probabilistic forecasting of under-five malaria admissions in Ghana: A Gaussian process regression with Holt–Winters smoothing. Artificial Intelligence in Medicine. https://doi.org/10.1016/j.artmed.2026.103508
Source records
- crossref · retrieved 2026-09-26T06:08:52.066Z