Novel pediatric-automated respiratory score using physiologic data and machine learning in asthma.

Journal: Pediatric pulmonology
Published Date: Apr 21, 2019

Abstract

OBJECTIVES: Manual clinical scoring systems are the current standard used for acute asthma clinical care pathways. No automated system exists that assesses disease severity, time course, and treatment impact in pediatric acute severe asthma exacerbations.

Authors

  • Amanda I Messinger
    Department of Pediatrics, Colorado School of Medicine, The Breathing Institute, University of Colorado, Children's Hospital Colorado, Aurora, Colorado.
  • Nam Bui
    Department of Computer Science, University of Colorado Boulder, Boulder, Colorado.
  • Brandie D Wagner
    Department of Biostatistics and Informatics, Colorado School of Public Health, University of Colorado, Aurora, Colorado.
  • Stanley J Szefler
    Department of Pediatrics, Colorado School of Medicine, The Breathing Institute, University of Colorado, Children's Hospital Colorado, Aurora, Colorado.
  • Tam Vu
    Department of Computer Science, University of Colorado Boulder, Boulder, Colorado.
  • Robin R Deterding
    Department of Pediatrics, Colorado School of Medicine, The Breathing Institute, University of Colorado, Children's Hospital Colorado, Aurora, Colorado.

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