Leveraging machine learning models for anemia severity detection among pregnant women following ANC: Ethiopian context

Leveraging machine learning models for anemia severity detection among pregnant women following ANC: Ethiopian context

Abstract Background Anemia during pregnancy is a significant public health concern, particularly in resource-limited settings. Machine learning (ML) offers promising avenues for improved anemia detection and management. This study investigates the potential of ML models in predicting anemia severity...

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Bibliographic Details
Main Authors: Bekan Kitaw, Chera Asefa, Firew Legese
Format: Article
Language:English
Published: BMC 2024-12-01
Series:BMC Public Health
Subjects:
Anemia detection
Prediction model
Ethiopia
Pregnant women
Antenatal care
Online Access:https://doi.org/10.1186/s12889-024-21039-x
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https://doi.org/10.1186/s12889-024-21039-x

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