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

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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Bibliographic Details
Main Authors: Ewunate Assaye Kassaw, Biruk Beletew Abate, Bekele Mulat Enyew, Ashenafi Kibret Sendekie
Format: Article
Language:English
Published: Nature Portfolio 2025-01-01
Series:Scientific Reports
Subjects:
Classification
Fertility rate
Machine learning
Prediction
Ethiopia
EDHS data
Online Access:https://doi.org/10.1038/s41598-025-85695-8
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