Predicting early cessation of exclusive breastfeeding using machine learning techniques.

Journal: PloS one
PMID: 39787191

Abstract

BACKGROUND: Identification of mother-infant pairs predisposed to early cessation of exclusive breastfeeding is important for delivering targeted support. Machine learning techniques enable development of transparent prediction models that enhance clinical applicability. We aimed to develop and validate two models to predict cessation of exclusive breastfeeding within one month among infants born after 35 weeks gestation using machine learning techniques.

Authors

  • Freja Marie Nejsum
    Department of Pediatrics, Copenhagen University Hospital-North Zealand, Hillerød, Denmark.
  • Rikke Wiingreen
    Department of Pediatrics, Copenhagen University Hospital-North Zealand, Hillerød, Denmark.
  • Andreas Kryger Jensen
    Department of Public Health, University of Copenhagen, Copenhagen, Denmark.
  • Ellen Christine Leth Løkkegaard
    Department of Clinical Medicine, University of Copenhagen, Copenhagen, Denmark.
  • Bo Mølholm Hansen
    Department of Pediatrics, Copenhagen University Hospital-North Zealand, Hillerød, Denmark.

Keywords

External Resources

Popular Topics
Recent Journals