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

Journal: BMC public health
PMID: 39815227

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 intentions.

Authors

  • Xinghong Guo
    Department of Health Management of Public Health, College of Public Health, Zhengzhou University, 100 Kexue Road, Gaoxin district, Zhengzhou, 450001, Henan, China.
  • Mingze Ma
    Xi'an Key Lab of Radiomics and Intelligent Perception, School of Information Science and Technology, Northwest University, Xi'an 710127, Shaanxi, China.
  • Yiyang Chen
    School of Mechanical and Electrical Engineering, Soochow University, Suzhou 215031, China.
  • Zhaoyang Fang
    College of Public Health, Zhengzhou University, Zhengzhou, 450001, Henan Provinc, China.
  • Jingru Liu
    Department of Health Management of Public Health, College of Public Health, Zhengzhou University, 100 Kexue Road, Gaoxin district, Zhengzhou, Henan, 450001, China.
  • Shuming Yan
    Department of Health Management of Public Health, College of Public Health, Zhengzhou University, 100 Kexue Road, Gaoxin district, Zhengzhou, Henan, 450001, China.
  • Yifei Feng
    Department of Health Management of Public Health, College of Public Health, Zhengzhou University, 100 Kexue Road, Gaoxin district, Zhengzhou, Henan, 450001, China.
  • Xinya Cheng
    Faculty of Arts and Social Sciences, Hong Kong Baptist University, 224 Waterloo Road, Kowloon Tong, Hong Kong.
  • Jian Wu
    Department of Medical Technology, Jiangxi Medical College, Shangrao, Jiangxi, China.
  • Beizhu Ye
    Department of Health Management of Public Health, College of Public Health, Zhengzhou University, 100 Kexue Road, Gaoxin district, Zhengzhou, 450001, Henan, China. yebeizhu@zzu.edu.cn.

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