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The application of machine learning approaches to classify and predict fertility rate in Ethiopia 

Abstract Integrating machine learning (ML) models into healthcare systems is a rapidly evolving field with the potential to revolutionize care delivery. This study aimed to classify fertility rates and identify significant predictors using ML models among reproductive women in Ethiopia. This study u...

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Hlavní autoři: Ewunate Assaye Kassaw, Biruk Beletew Abate, Bekele Mulat Enyew, Ashenafi Kibret Sendekie
Médium: Artigo
Jazyk:Inglês
Vydáno: Nature Portfolio 2025-01-01
Edice:Scientific Reports
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On-line přístup:https://doi.org/10.1038/s41598-025-85695-8
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