Trajectory of breastfeeding among Chinese women and risk prediction models based on machine learning: a cohort study.

Journal: BMC pregnancy and childbirth
PMID: 39719546

Abstract

BACKGROUND: Breastfeeding is the optimal source of nutrition for infants and young children, essential for their healthy growth and development. However, a gap in cohort studies tracking breastfeeding up to six months postpartum may lead caregivers to miss critical intervention opportunities.

Authors

  • Yi Liu
    Department of Interventional Therapy, Ningbo No. 2 Hospital, Ningbo, China.
  • Jie Xiang
    College of Computer Science and Technology, Taiyuan University of Technology, Taiyuan, China.
  • Ping Yan
    State Key Laboratory of Precision Measurement Technology and Instruments, Department of Precision Instrument, Tsinghua University, Beijing, 100084, China.
  • Yuanqiong Liu
    Department of Obstetric Nursing, West China Second University Hospital, Sichuan University, No. 1416, Chenglonglu Avenue, Chengdu, Sichuan, Jinjiang District, 610066, China.
  • Peng Chen
  • Yujia Song
    Department of Medical Oncology, The First Hospital of China Medical University, Shenyang, Liaoning, China; Key Laboratory of Anticancer Drugs and Biotherapy of Liaoning Province, The First Hospital of China Medical University, Shenyang, Liaoning, China; Liaoning Province Clinical Research Center for Cancer, The First Hospital of China Medical University, Shenyang, Liaoning, China; Key Laboratory of Precision Diagnosis and Treatment of Gastrointestinal Tumors, Ministry of Education, The First Hospital of China Medical University, Shenyang, Liaoning, China.
  • Jianhua Ren
    School of Mechanical and Equipment Engineering, Hebei University of Engineering, Handan 056038, China.

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