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Eden Amare Yitbarek on Muck Rack

Eden Amare Yitbarek

As seen in: Biomed Central (BMC), The Times of Israel
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Articles

Application of the random forest algorithm to predict skilled birth attendance and identify determinants among reproductive-age women in 27 Sub-Saharan African countries; machine learning analysis | BMC Public Health | Full Text

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By Eden Amare Yitbarek, Eliyas Addisu, Gabrela Yimer, Fetlework Gubena
| Biomed Central (BMC)
The study used data from recent surveys conducted in 27 SSA countries between 2016 and 2024 G.C. These countries were Angola, Benin, Burkina Faso, Burundi, Cameroon, Côte d’Ivoire, Ethiopia, Gabon, Ghana, Gambia, Guinea, Kenya, Liberia, Lesotho, Madagascar, Malawi, Mali, Mauritania, Mozambique, Nigeria, Rwanda, Senegal, Sierra Leone, South Africa, Tanzania, Uganda, and Zambia.
Open in Who Shared Issue with article?

Racism took its mask off, now what ?

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By Eden Amare Yitbarek
| The Times of Israel Verified
Jun 30, 2020, 1:03 AM Please note that the posts on The Blogs are contributed by third parties. The opinions, facts and any media content in them are presented solely by the authors, and neither The Times of Israel nor its partners assume any responsibility for them. Please contact us in case of abuse. In case of abuse, Report this post.
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