Describing and predicting contraceptive discontinuation in war-torn settings: a machine learning approach.
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| Title: | Describing and predicting contraceptive discontinuation in war-torn settings: a machine learning approach. |
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| Authors: | Alemayehu, Mussie1,2 (AUTHOR), Ebrahim, Mohamedawel Mohamedniguss3 (AUTHOR) mohamedawel@gmail.com, Gebreegzabher, Bisrat Gebremedhin4,5 (AUTHOR), Ayele, Brhane2 (AUTHOR), Chekole, Mebrahtu Kalayu1 (AUTHOR), Gebretnsae, Hailay2 (AUTHOR), Hadgu, Tsegay2 (AUTHOR), Kahsay, Znabu Hadush1 (AUTHOR), Shamie, Reda1 (AUTHOR), Gebreslassie, Haftamu Alemayo6 (AUTHOR), Gebrehiwot, Haftu2 (AUTHOR) |
| Source: | Discover Public Health. 1/26/2026, Vol. 23 Issue 1, p1-18. 18p. |
| Database: | Academic Search Ultimate |
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| FullText | Links: – Type: pdflink Text: Availability: 1 |
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| Header | DbId: asn DbLabel: Academic Search Ultimate An: 191135448 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Describing and predicting contraceptive discontinuation in war-torn settings: a machine learning approach. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Alemayehu%2C+Mussie%22">Alemayehu, Mussie</searchLink><relatesTo>1,2</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Ebrahim%2C+Mohamedawel+Mohamedniguss%22">Ebrahim, Mohamedawel Mohamedniguss</searchLink><relatesTo>3</relatesTo> (AUTHOR)<i> mohamedawel@gmail.com</i><br /><searchLink fieldCode="AR" term="%22Gebreegzabher%2C+Bisrat+Gebremedhin%22">Gebreegzabher, Bisrat Gebremedhin</searchLink><relatesTo>4,5</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Ayele%2C+Brhane%22">Ayele, Brhane</searchLink><relatesTo>2</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Chekole%2C+Mebrahtu+Kalayu%22">Chekole, Mebrahtu Kalayu</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Gebretnsae%2C+Hailay%22">Gebretnsae, Hailay</searchLink><relatesTo>2</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Hadgu%2C+Tsegay%22">Hadgu, Tsegay</searchLink><relatesTo>2</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Kahsay%2C+Znabu+Hadush%22">Kahsay, Znabu Hadush</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Shamie%2C+Reda%22">Shamie, Reda</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Gebreslassie%2C+Haftamu+Alemayo%22">Gebreslassie, Haftamu Alemayo</searchLink><relatesTo>6</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Gebrehiwot%2C+Haftu%22">Gebrehiwot, Haftu</searchLink><relatesTo>2</relatesTo> (AUTHOR) – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Discover+Public+Health%22">Discover Public Health</searchLink>. 1/26/2026, Vol. 23 Issue 1, p1-18. 18p. |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=asn&AN=191135448 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1186/s12982-026-01432-0 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 18 StartPage: 1 Titles: – TitleFull: Describing and predicting contraceptive discontinuation in war-torn settings: a machine learning approach. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Alemayehu, Mussie – PersonEntity: Name: NameFull: Ebrahim, Mohamedawel Mohamedniguss – PersonEntity: Name: NameFull: Gebreegzabher, Bisrat Gebremedhin – PersonEntity: Name: NameFull: Ayele, Brhane – PersonEntity: Name: NameFull: Chekole, Mebrahtu Kalayu – PersonEntity: Name: NameFull: Gebretnsae, Hailay – PersonEntity: Name: NameFull: Hadgu, Tsegay – PersonEntity: Name: NameFull: Kahsay, Znabu Hadush – PersonEntity: Name: NameFull: Shamie, Reda – PersonEntity: Name: NameFull: Gebreslassie, Haftamu Alemayo – PersonEntity: Name: NameFull: Gebrehiwot, Haftu IsPartOfRelationships: – BibEntity: Dates: – D: 26 M: 01 Text: 1/26/2026 Type: published Y: 2026 Identifiers: – Type: issn-print Value: 30050774 Numbering: – Type: volume Value: 23 – Type: issue Value: 1 Titles: – TitleFull: Discover Public Health Type: main |
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