Original paper
Predictive modelling of hypoxic ischaemic encephalopathy risk following perinatal asphyxia
Abstract
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 clinical data to improve prognostic power. Here we examine the use of a Random Forest machine learning algorithm and five-fold cross-validation to...
Paper Details
Title
Predictive modelling of hypoxic ischaemic encephalopathy risk following perinatal asphyxia
Published Date
Jul 1, 2021
Journal
Volume
7
Issue
7
Pages
e07411 - e07411
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Notes
History