Leveraging machine learning models for anemia severity detection among pregnant women following ANC: Ethiopian context
- Location
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Deutsche Nationalbibliothek Frankfurt am Main
- Extent
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1 Online-Ressource.
- Language
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Englisch
- Bibliographic citation
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Leveraging machine learning models for anemia severity detection among pregnant women following ANC: Ethiopian context ; volume:24 ; number:1 ; day:18 ; month:12 ; year:2024 ; pages:1-14 ; date:12.2024
BMC public health ; 24, Heft 1 (18.12.2024), 1-14, 12.2024
- Creator
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Kitaw, Bekan
Asefa, Chera
Legese, Firew
- Contributor
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SpringerLink (Online service)
- DOI
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10.1186/s12889-024-21039-x
- URN
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urn:nbn:de:101:1-2503010626414.208056576454
- Rights
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Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Last update
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15.08.2025, 7:38 AM CEST
Data provider
This object is provided by:
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Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Associated
- Kitaw, Bekan
- Asefa, Chera
- Legese, Firew
- SpringerLink (Online service)
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Food taboo among pregnant Ethiopian women: magnitude, drivers, and association with anemia
Predicting the level of anemia among Ethiopian pregnant women using homogeneous ensemble machine learning algorithm
Intestinal helminthic infection and anemia among pregnant women attending ante-natal care (ANC) in East Wollega, Oromia, Ethiopia
ANC: Schriftverkehr
ANC: Ausbildung
aNC
ANC BGH
ANC: Druckmaterial
A-ANC
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Determinants of anemia status among pregnant women in ethiopia: using 2016 ethiopian demographic and health survey data; application of ordinal logistic regression models