Continuous Prediction of Mortality in the PICU: A Recurrent Neural Network Model in a Single-Center Dataset.

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: Jun 1, 2021

Abstract

OBJECTIVES: Develop, as a proof of concept, a recurrent neural network model using electronic medical records data capable of continuously assessing an individual child's risk of mortality throughout their ICU stay as a proxy measure of severity of illness.

Authors

  • Melissa D Aczon
    Laura P. and Leland K. Whittier Virtual Pediatric Intensive Care Unit, Children's Hospital Los Angeles, Los Angeles, CA, USA.
  • David R Ledbetter
  • Eugene Laksana
    The Laura P. and Leland K. Whittier Virtual Pediatric Intensive Care Unit, Children's Hospital Los Angeles, 4650 Sunset Blvd, Los Angeles, CA 90027, United States. Electronic address: elaksana@chla.usc.edu.
  • Long V Ho
    The Laura P. and Leland K. Whittier Virtual Pediatric Intensive Care Unit Children's Hospital Los Angeles, Los Angeles, CA.
  • Randall C Wetzel

Keywords

External Resources

Popular Topics
Recent Journals