Early identification of impending cardiac arrest in neonates and infants in the cardiovascular ICU: a statistical modelling approach using physiologic monitoring data.

Sanjukta N BoseAdam VeriganJade HansonLuis M AhumadaSharon R GhazarianNeil A GoldenbergArabela StockJeffrey P Jacobs

Published in: Cardiology in the young (2019)

Our findings demonstrate that a predictive model using physiologic monitoring data in neonates and infants with cardiac disease hospitalised in the paediatric cardiovascular ICU can identify impending cardiac arrest on average 17 hours prior to arrest.

Keyphrases

cardiac arrest
intensive care unit
cardiopulmonary resuscitation
electronic health record
big data
mechanical ventilation
low birth weight
emergency department
left ventricular
machine learning
heart failure
preterm infants
community acquired pneumonia
deep learning