Predicting low cognitive ability at age 5 years using perinatal data and machine learning.

Journal: Pediatric research
PMID: 38177251

Abstract

BACKGROUND: There are no early, accurate, scalable methods for identifying infants at high risk of poor cognitive outcomes in childhood. We aim to develop an explainable predictive model, using machine learning and population-based cohort data, for this purpose.

Authors

  • Andrea K Bowe
    INFANT Research Centre, Cork, Ireland.
  • Gordon Lightbody
    Neonatal Brain Research Group, Irish Centre for Fetal and Neonatal Translational Research (INFANT), Ireland; Department of Electrical and Electronics Engineering, University College Cork, Ireland.
  • Daragh S O'Boyle
    INFANT Research Centre, University College Cork, Cork, Ireland.
  • Anthony Staines
    School of Nursing, Psychotherapy, and Community Health, Dublin City University, Dublin, Ireland.
  • Deirdre M Murray
    INFANT Research Centre, University College Cork, Cork, Ireland; Department of Paediatrics and Child Health, University College Cork, Cork, Ireland.

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