Validation of a machine learning algorithm for identifying infants at risk of hypoxic ischaemic encephalopathy in a large unseen data set.

Journal: Archives of disease in childhood. Fetal and neonatal edition
PMID: 39251344

Abstract

OBJECTIVE: To validate a hypoxic ischaemic encephalopathy (HIE) prediction algorithm to identify infants at risk of HIE immediately after birth using readily available clinical data.

Authors

  • Anne L Murray
    Cork University Maternity Hospital, Wilton, Cork, Ireland.
  • Daragh S O'Boyle
    INFANT Research Centre, University College Cork, Cork, Ireland.
  • Brian H Walsh
    Cork University Maternity Hospital, Wilton, Cork, 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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