Prediction and unsupervised clustering of fertility intention among migrant workers based on machine learning: a cross-sectional survey from Henan, China

Prediction and unsupervised clustering of fertility intention among migrant workers based on machine learning: a cross-sectional survey from Henan, China

Abstract Background Although China has implemented multiple policies to encourage childbirth, the results have been underwhelming. Migrant workers account for a considerable proportion of China’s population, most of whom are of childbearing age. However, few articles focus on their fertility intenti...

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Bibliographic Details
Main Authors: Xinghong Guo, Mingze Ma, Yiyang Chen, Zhaoyang Fang, Jingru Liu, Shuming Yan, Yifei Feng, Xinya Cheng, Jian Wu, Beizhu Ye
Format: Article
Language:English
Published: BMC 2025-01-01
Series:BMC Public Health
Subjects:
Fertility intention
Migrant workers
Machine learning
Online Access:https://doi.org/10.1186/s12889-025-21412-4
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https://doi.org/10.1186/s12889-025-21412-4

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