Using Time Series Analysis to Predict Cardiac Arrest in a PICU.

Journal: Pediatric critical care medicine : a journal of the Society of Critical Care Medicine and the World Federation of Pediatric Intensive and Critical Care Societies

Published Date: Nov 1, 2015

Abstract

OBJECTIVES: To build and test cardiac arrest prediction models in a PICU, using time series analysis as input, and to measure changes in prediction accuracy attributable to different classes of time series data.

Authors

Curtis E Kennedy

1Section of Critical Care Medicine, Department of Pediatrics, Baylor College of Medicine, Houston, TX. 2Department of Pediatrics, University of Illinois College of Medicine, Urbana, IL. 3The University of Texas School of Biomedical Informatics, Houston, TX.
Noriaki Aoki
Michele Mariscalco
James P Turley

Keywords

Adolescent Area Under Curve Child Child, Preschool Decision Trees Heart Arrest Humans Infant Intensive Care Units, Pediatric Linear Models Multivariate Analysis Neural Networks, Computer Predictive Value of Tests Retrospective Studies ROC Curve Support Vector Machine Young Adult

External Resources

View on PubMed Access via DOI PubMed (26536566)

Using Time Series Analysis to Predict Cardiac Arrest in a PICU.

Abstract

Authors

Keywords

External Resources

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