An ensemble machine learning approach for predicting anemia among under-five children in malaria-endemic sub-Saharan African countries
Abstract Background Worldwide, anemia in children under-five is a major public health issue, particularly in sub-Saharan Africa. Sub-Saharan Africa also has the highest burden of malaria. This study aimed to develop an ensemble machine learning model to estimate anemia burden and potential predictor...
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| Автори: | , , , |
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| Формат: | Artigo |
| Мова: | Inglês |
| Опубліковано: |
BMC
2026-07-01
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| Серія: | Infectious Diseases of Poverty |
| Предмети: | |
| Онлайн доступ: | https://doi.org/10.1186/s40249-026-01461-6 |
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