Article
Machine learning models for predicting childhood anemia in Mozambique: analysis from national survey data
2025-11-28
Abstract excerpt
<title>Abstract</title> <p>Background Childhood anemia remains a major public health concern in sub-Saharan Africa, with Mozambique among the most affected countries. Despite the growing use of machine learning (ML) to enhance disease prediction, there is a lack of national-level evidence on its application to childhood anemia in low-resource settings. This study aimed to develop, compare, and interpret ML models...
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Identifiers and source
- Literature Corpus work
- 0e3f75f1-4ded-585e-bc79-020f1d86e704
- DOI
- 10.21203/rs.3.rs-7918744/v1
