Predicting presumed serious infection among hospitalized children on central venous lines with machine learning.

Journal: Computers in biology and medicine
Published Date: May 1, 2021

Abstract

BACKGROUND: Presumed serious infection (PSI) is defined as a blood culture drawn and new antibiotic course of at least 4 days among pediatric patients with Central Venous Lines (CVLs). Early PSI prediction and use of medical interventions can prevent adverse outcomes and improve the quality of care.

Authors

  • Azade Tabaie
    Department of Biomedical Informatics, Emory School of Medicine, Atlanta, GA, USA.
  • Evan W Orenstein
    Department of Pediatrics, Emory University School of Medicine, Atlanta, GA, USA.
  • Shamim Nemati
    Department of Biomedical Informatics, Emory School of Medicine, Atlanta, GA, USA.
  • Rajit K Basu
    Department of Pediatrics, Emory University School of Medicine, Atlanta, GA, USA.
  • Swaminathan Kandaswamy
    Department of Pediatrics, Emory University School of Medicine, Atlanta, GA, USA.
  • Gari D Clifford
    Department of Biomedical Informatics, Emory University, Atlanta, GA, United States.
  • Rishikesan Kamaleswaran
    Department of Biomedical Informatics, Emory University School of Medicine, Atlanta, GA.

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