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Applying machine learning to predict quality ANC determinants in Bangladesh: a BDHS-2022 cross-sectional study

Abstract Quality antenatal care (ANC) is critical for maternal and neonatal health. Despite improvements in healthcare, disparities in ANC access and quality persist, particularly in underserved areas of Bangladesh. This study aimed to identify the key determinants of quality ANC in Bangladesh and p...

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Principais autores: Tanzila Tamanna, Shohel Mahmud
Format: Artigo
Sprog:Inglês
Udgivet: Nature Portfolio 2025-10-01
Serier:Scientific Reports
Fag:
Quality ANC
Maternal health
Boruta algorithm
Machine learning algorithms
Random forest
Bangladesh
Online adgang:https://doi.org/10.1038/s41598-025-21411-w
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