Machine learning in infection management using routine electronic health records: tools, techniques, and reporting of future technologies.

Journal: Clinical microbiology and infection : the official publication of the European Society of Clinical Microbiology and Infectious Diseases
PMID: 32061798

Abstract

BACKGROUND: Machine learning (ML) is increasingly being used in many areas of health care. Its use in infection management is catching up as identified in a recent review in this journal. We present here a complementary review to this work.

Authors

  • C F Luz
    University of Groningen, University Medical Center Groningen, Department of Medical Microbiology and Infection Prevention, Groningen, the Netherlands. Electronic address: c.f.luz@umcg.nl.
  • M Vollmer
    Institute of Bioinformatics, University Medicine Greifswald, Greifswald, Germany.
  • J Decruyenaere
    Ghent University, Ghent University Hospital, Department of Intensive Care, Ghent, Belgium.
  • M W Nijsten
    University of Groningen, University Medical Center Groningen, Department of Critical Care, Groningen, the Netherlands.
  • C Glasner
    University of Groningen, University Medical Center Groningen, Department of Medical Microbiology and Infection Prevention, Groningen, the Netherlands.
  • B Sinha
    University of Groningen, University Medical Center Groningen, Department of Medical Microbiology and Infection Prevention, Groningen, the Netherlands.

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