Identifying determinants of malnutrition in under-five children in Bangladesh: insights from the BDHS-2022 cross-sectional study

Identifying determinants of malnutrition in under-five children in Bangladesh: insights from the BDHS-2022 cross-sectional study

Abstract Malnutrition remains one of the most pressing global health challenges, particularly in developing countries like Bangladesh, where it continues to significantly impact child health and contribute to chronic illness and high child mortality. Despite the potential of machine learning to impr...

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Bibliographic Details
Main Authors: Tanzila Tamanna, Shohel Mahmud, Nahid Salma, Md. Musharraf Hossain, Md. Rezaul Karim
Format: Article
Language:English
Published: Nature Portfolio 2025-04-01
Series:Scientific Reports
Subjects:
Malnutrition
Boruta algorithm
Machine learning algorithms
Random forest
Bangladesh
Online Access:https://doi.org/10.1038/s41598-025-99288-y
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https://doi.org/10.1038/s41598-025-99288-y

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