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

Authors

  • Anne L Murray Cork University Maternity Hospital, Wilton, Cork, Ireland INFANT Centre, Paediatric Academic Unit, Cork University Hospital, Wilton, Cork, Ireland PubMed articlesGoogle scholar articles
  • Daragh S O’Boyle INFANT Centre, Paediatric Academic Unit, Cork University Hospital, Wilton, Cork, Ireland PubMed articlesGoogle scholar articles
  • Brian H Walsh Cork University Maternity Hospital, Wilton, Cork, Ireland INFANT Centre, Paediatric Academic Unit, Cork University Hospital, Wilton, Cork, Ireland Department of Paediatrics and Child Health, University College Cork, Cork, Ireland PubMed articlesGoogle scholar articles
  • Deirdre M Murray INFANT Centre, Paediatric Academic Unit, Cork University Hospital, Wilton, Cork, Ireland Department of Paediatrics and Child Health, University College Cork, Cork, Ireland PubMed articlesGoogle scholar articles
  1. Correspondence to Dr Deirdre M Murray; d.murray{at}ucc.ie
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Citation

Murray AL, O’Boyle DS, Walsh BH, et al
Validation of a machine learning algorithm for identifying infants at risk of hypoxic ischaemic encephalopathy in a large unseen data set

Publication history

  • Received May 6, 2024
  • Accepted August 21, 2024
  • First published September 9, 2024.

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