Machine learning models for early sepsis recognition in the neonatal intensive care unit using readily available electronic health record data.

Journal: PloS one
Published Date: Feb 22, 2019

Abstract

BACKGROUND: Rapid antibiotic administration is known to improve sepsis outcomes, however early diagnosis remains challenging due to complex presentation. Our objective was to develop a model using readily available electronic health record (EHR) data capable of recognizing infant sepsis at least 4 hours prior to clinical recognition.

Authors

  • Aaron J Masino
    Department of Biomedical and Health Informatics, The Children's Hospital of Philadelphia, 3535 Market Street, Suite 1024, Philadelphia, PA, 19104, USA. masinoa@email.chop.edu.
  • Mary Catherine Harris
    Department of Pediatrics, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, Pennsylvania, United States of America.
  • Daniel Forsyth
    Department of Biomedical and Health Informatics, Children's Hospital of Philadelphia, Philadelphia, Pennsylvania, United States of America.
  • Svetlana Ostapenko
    Department of Biomedical and Health Informatics, Children's Hospital of Philadelphia, Philadelphia, Pennsylvania, United States of America.
  • Lakshmi Srinivasan
    Department of Pediatrics, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, Pennsylvania, United States of America.
  • Christopher P Bonafide
    Department of Pediatrics, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, Pennsylvania, United States of America.
  • Fran Balamuth
    Department of Pediatrics, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, Pennsylvania, United States of America.
  • Melissa Schmatz
    Department of Pediatrics, Children's Hospital of Philadelphia, Philadelphia, PA, United States of America.
  • Robert W Grundmeier
    Department of Biomedical and Health Informatics, The Children's Hospital of Philadelphia, 3535 Market Street, Suite 1024, Philadelphia, PA, 19104, USA.

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