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Intensive Care Units, Pediatric

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The predictive value of soluble endothelial selectin plasma levels in children with acute lung injury.

Journal of critical care Dec 23, 2015
UNLABELLED: The study aimed to evaluate the value of soluble endothelial selectin (sE-selectin) plasma level measurement in predicting acute lung injury (ALI) outcome in children.
Acute Lung Injury Adolescent Biomarkers C-Reactive Protein Child Child, Preschool Egypt Female Humans Intensive Care Units, Pediatric Male Predictive Value of Tests Prognosis Prospective Studies Respiration, Artificial Selectins
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Using Time Series Analysis to Predict Cardiac Arrest in a PICU.

Pediatric critical care medicine : a journal of the Society of Critical Care Medicine and the World Federation of Pediatric Intensive and Critical Care Societies Nov 1, 2015
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.
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
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Interpretable Deep Models for ICU Outcome Prediction.

AMIA ... Annual Symposium proceedings. AMIA Symposium Jan 1, 2016
Exponential surge in health care data, such as longitudinal data from electronic health records (EHR), sensor data from intensive care unit (ICU), etc., is providing new opportunities to discover meaningful data-driven characteristics and patterns of...
Acute Lung Injury Computer Simulation Electronic Health Records Humans Intensive Care Units, Pediatric Machine Learning Models, Theoretical Neural Networks, Computer Prognosis
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An ensemble boosting model for predicting transfer to the pediatric intensive care unit.

International journal of medical informatics Apr 1, 2018
BACKGROUND: Early deterioration indicators have the potential to alert hospital care staff in advance of adverse events, such as patients requiring an increased level of care, or the need for rapid response teams to be called. Our work focuses on the...
Algorithms Artificial Intelligence Child Child, Hospitalized Female Health Services Needs and Demand Humans Intensive Care Units, Pediatric Machine Learning Male Models, Statistical Patient Transfer Retrospective Studies ROC Curve Severity of Illness Index
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