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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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Literature Corpus work
0e3f75f1-4ded-585e-bc79-020f1d86e704
DOI
10.21203/rs.3.rs-7918744/v1
Open publication

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Machine learning models for predicting childhood anemia in Mozambique: analysis from national survey dataDOI 10.21203/rs.3.rs-7918744/v1
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