Predictive modelling of hypoxic ischaemic encephalopathy risk following perinatal asphyxia

Predictive modelling of hypoxic ischaemic encephalopathy risk following perinatal asphyxia

Hypoxic Ischemic Encephalopathy (HIE) remains a major cause of neurological disability. Early intervention with therapeutic hypothermia improves outcome, but prediction of HIE is difficult and no single clinical marker is reliable. Machine learning algorithms may allow identification of patterns in...

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Bibliographic Details
Main Authors: Catherine Mooney, Daragh O'Boyle, Mikael Finder, Boubou Hallberg, Brian H. Walsh, David C. Henshall, Geraldine B. Boylan, Deirdre M. Murray
Format: Article
Language:English
Published: Elsevier 2021-07-01
Series:Heliyon
Subjects:
Perinatal asphyxia
Hypoxic ischaemic encephalopathy
Clinical risk prediction
Neonatal encephalopathy
Acidosis
Machine learning
Online Access:http://www.sciencedirect.com/science/article/pii/S2405844021015140

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http://www.sciencedirect.com/science/article/pii/S2405844021015140

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