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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Bibliografische Detailangaben

Hauptverfasser:	Khadijeh Moulaei, Mohammad Mahboubi, Sasan Ghorbani Kalkhajeh, Hadi Kazemi-Arpanahi
Format:	Artigo
Sprache:	Inglês
Veröffentlicht:	Nature Portfolio 2024-09-01
Schriftenreihe:	Scientific Reports
Schlagworte:	Machine learning Reproductive behavior Fertility Childbearing tendency Marriage Forecasting
Online-Zugang:	https://doi.org/10.1038/s41598-024-71854-w
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