Prediction of childbearing tendency in women on the verge of marriage using machine learning techniques

Abstract The declining fertility rate and increasing marriage age among girls pose challenges for policymakers, leading to issues such as population decline, higher social and economic costs, and reduced labor productivity. Using machine learning (ML) techniques to predict the desire to have childre...

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Detalhes bibliográficos

Principais autores:	Khadijeh Moulaei, Mohammad Mahboubi, Sasan Ghorbani Kalkhajeh, Hadi Kazemi-Arpanahi
Formato:	Artigo
Idioma:	Inglês
Publicado em:	Nature Portfolio 2024-09-01
coleção:	Scientific Reports
Assuntos:	Machine learning Reproductive behavior Fertility Childbearing tendency Marriage Forecasting
Acesso em linha:	https://doi.org/10.1038/s41598-024-71854-w
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