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

Anne L MurrayDaragh S O'BoyleBrian H WalshDeirdre M Murray

Published in: Archives of disease in childhood. Fetal and neonatal edition (2024)

In a large unseen data set an open-source algorithm could identify infants at risk of HIE in the immediate postnatal period. This may aid focused clinical examination, transfer to tertiary care (if necessary) and timely intervention.

Keyphrases

machine learning
big data
tertiary care
electronic health record
deep learning
artificial intelligence
randomized controlled trial
preterm infants
early onset
neural network
data analysis