A minimal set of physiomarkers in continuous high frequency data streams predict adult sepsis onset earlier.

Journal: International journal of medical informatics
Published Date: Dec 10, 2018

Abstract

PURPOSE: Sepsis is a life-threatening condition with high mortality rates and expensive treatment costs. To improve short- and long-term outcomes, it is critical to detect at-risk sepsis patients at an early stage.

Authors

  • Franco van Wyk
    University of Tennessee, Knoxville, TN, USA.
  • Anahita Khojandi
    University of Tennessee, Knoxville, TN, USA.
  • Akram Mohammed
    Department of Biochemistry, University of Nebraska-Lincoln, Lincoln, Nebraska, United States of America.
  • Edmon Begoli
    University of Tennessee, Knoxville, TN, USA; Oak Ridge National Laboratory, Knoxville, TN, USA.
  • Robert L Davis
    Center for Biomedical Informatics, Department of Pediatrics, University of Tennessee Health Science Center, Memphis, TN.
  • Rishikesan Kamaleswaran
    Department of Biomedical Informatics, Emory University School of Medicine, Atlanta, GA.

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