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.
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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  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
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        Value: 10.1186/s12982-026-01432-0
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