Predicting adverse birth outcome among childbearing women in Sub-Saharan Africa: employing innovative machine learning techniques
- 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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Predicting adverse birth outcome among childbearing women in Sub-Saharan Africa: employing innovative machine learning techniques ; volume:24 ; number:1 ; day:29 ; month:7 ; year:2024 ; pages:1-16 ; date:12.2024
BMC public health ; 24, Heft 1 (29.7.2024), 1-16, 12.2024
- Creator
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Ngusie, Habtamu Setegn
Mengiste, Shegaw Anagaw
Zemariam, Alemu Birara
Molla, Bogale
Tesfa, Getanew Aschalew
Seboka, Binyam Tariku
Alene, Tilahun Dessie
Sun, Jing
- Contributor
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SpringerLink (Online service)
- DOI
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10.1186/s12889-024-19566-8
- URN
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urn:nbn:de:101:1-2410132109072.764276011474
- Rights
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Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Last update
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15.08.2025, 7:25 AM CEST
Data provider
This object is provided by:
Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Associated
- Ngusie, Habtamu Setegn
- Mengiste, Shegaw Anagaw
- Zemariam, Alemu Birara
- Molla, Bogale
- Tesfa, Getanew Aschalew
- Seboka, Binyam Tariku
- Alene, Tilahun Dessie
- Sun, Jing
- SpringerLink (Online service)
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