Developing an Algorithm to Detect Early Childhood Obesity in Two Tertiary Pediatric Medical Centers.

Journal: Applied clinical informatics
PMID: 27452794

Abstract

OBJECTIVE: The objective of this study is to develop an algorithm to accurately identify children with severe early onset childhood obesity (ages 1-5.99 years) using structured and unstructured data from the electronic health record (EHR).

Authors

  • Todd Lingren
    Department of Biomedical Informatics, Cincinnati Children's Hospital Medical Center, Cincinnati, Ohio, USA.
  • Vidhu Thaker
  • Cassandra Brady
  • Bahram Namjou
  • Stephanie Kennebeck
    Division of Pediatric Emergency Medicine, Cincinnati Children's Hospital Medical Center, Cincinnati, Ohio, USA.
  • Jonathan Bickel
  • Nandan Patibandla
  • Yizhao Ni
    Division of Biomedical Informatics, Cincinnati Children's Hospital Medical Center, Cincinnati, OH.
  • Sara L Van Driest
  • Lixin Chen
  • Ashton Roach
  • Beth Cobb
  • Jacqueline Kirby
    Vanderbilt Institute for Clinical and Translational Research, Vanderbilt University, Nashville, TN, United States.
  • Josh Denny
  • Lisa Bailey-Davis
    Geisinger Center for Health Research, 100 North Academy Avenue, Danville, PA 1728, USA.
  • Marc S Williams
  • Keith Marsolo
  • Imre Solti
    Department of Biomedical Informatics, Cincinnati Children's Hospital Medical Center, Cincinnati, Ohio, USA James M Anderson Center for Health Systems Excellence, Cincinnati Children's Hospital Medical Center, Cincinnati, Ohio, USA.
  • Ingrid A Holm
  • John Harley
  • Isaac S Kohane
    Department of Biomedical Informatics, Harvard Medical School, Boston, MA, USA. Isaac_Kohane@hms.harvard.edu.
  • Guergana Savova
    Boston Children's Hospital and Harvard Medical School, Boston, Massachusetts, USA.
  • Nancy Crimmins

Keywords

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