Identification of factors associated with acute malnutrition in children under 5 years and forecasting future prevalence: assessing the potential of statistical and machine learning methods
- DOI
- 10.1136/bmjph-2024-001460
- Published
- 2025-01
- Container
- BMJ Public Health
- Publisher
- BMJ
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1136/bmjph-2024-001460,
title = {Identification of factors associated with acute malnutrition in children under 5 years and forecasting future prevalence: assessing the potential of statistical and machine learning methods},
author = {Meike Reusken and Christopher Coffey and Frans Cruijssen and Bertrand Melenberg and Cascha van Wanrooij},
year = {2025},
journal = {BMJ Public Health},
doi = {10.1136/bmjph-2024-001460},
url = {https://doi.org/10.1136/bmjph-2024-001460}
}RIS
TY - JOUR TI - Identification of factors associated with acute malnutrition in children under 5 years and forecasting future prevalence: assessing the potential of statistical and machine learning methods AU - Meike Reusken AU - Christopher Coffey AU - Frans Cruijssen AU - Bertrand Melenberg AU - Cascha van Wanrooij PY - 2025 JO - BMJ Public Health DO - 10.1136/bmjph-2024-001460 UR - https://doi.org/10.1136/bmjph-2024-001460 ER -
APA
Reusken, M., Coffey, C., Cruijssen, F., Melenberg, B., & Wanrooij, C. V. (2025). Identification of factors associated with acute malnutrition in children under 5 years and forecasting future prevalence: assessing the potential of statistical and machine learning methods. BMJ Public Health. https://doi.org/10.1136/bmjph-2024-001460
Source records
- crossref · retrieved 2026-11-04T21:00:07.927Z