Predicting hospital admissions, ICU utilization, and prolonged length of stay among febrile pediatric emergency department patients using incomplete and imbalanced electronic health record (EHR) data strategies.

Abstract

Authors

• Tom Velez
  Computer Technology Associates, Cardiff, CA.
• Zara Ibrahim
  3rd Year Pediatric Resident, Center for Genetic Medicine Research, Children's National Research Institute, Children's National Hospital.
• Kanayo Duru
  Department of Pediatrics, Children's National Hospital, Washington, DC, United States; Brown University, Providence, RI, United States.
• Dante Velez
  Department of Pediatrics, Children's National Hospital, Washington, DC, United States.
• Maria Triantafyllou
  3rd Year Pediatric Resident, Center for Genetic Medicine Research, Children's National Research Institute, Children's National Hospital.
• Kenneth McKinley
  Department of Pediatrics, Children's National Hospital, Washington, DC, United States; George Washington University School of Medicine and Health Sciences, Washington, DC, United States.
• Pasha Saif
  Virginia Tech Carilion School of Medicine, Roanoke, VA, United States.
• Panagiotis Kratimenos
  Post-doctoral Fellow, Center for Neuroscience Research, Children's National Research Institute, Children's National Hospital, Washington, DC.
• Andy Clark
  Department of Philosophy, University of Sussex, Brighton, UK; Department of Informatics, University of Sussex, Brighton, UK; Department of Philosophy, Macquarie University, Sydney, New South Wales, Australia.
• Ioannis Koutroulis
  Children's National Health System, Washington, DC.

Keywords

External Resources