Supervised machine learning for the prediction of infection on admission to hospital: a prospective observational cohort study.

Journal: The Journal of antimicrobial chemotherapy
PMID: 30590545

Abstract

BACKGROUND: Infection diagnosis can be challenging, relying on clinical judgement and non-specific markers of infection. We evaluated a supervised machine learning (SML) algorithm for diagnosing bacterial infection using routinely available blood parameters on presentation to hospital.

Authors

  • T M Rawson
    National Institute for Health Research Health Protection Research Unit in Healthcare Associated Infections and Antimicrobial Resistance, Imperial College London, Hammersmith Campus, Du Cane Road, London, UK.
  • B Hernandez
    Department of Electrical and Electronic Engineering, Imperial College London, South Kensington Campus, London, UK.
  • L S P Moore
    National Institute for Health Research Health Protection Research Unit in Healthcare Associated Infections and Antimicrobial Resistance, Imperial College London, Hammersmith Campus, Du Cane Road, London, UK.
  • O Blandy
    National Institute for Health Research Health Protection Research Unit in Healthcare Associated Infections and Antimicrobial Resistance, Imperial College London, Hammersmith Campus, Du Cane Road, London, UK.
  • P Herrero
    Department of Electrical and Electronic Engineering, Imperial College London, South Kensington Campus, London, UK.
  • M Gilchrist
    Imperial College Healthcare NHS Trust, Hammersmith Hospital, Du Cane Road, London, UK.
  • A Gordon
    Section of Anaesthetics, Pain Medicine & Intensive Care, Imperial College London, South Kensington Campus, London, UK.
  • C Toumazou
    Department of Electrical and Electronic Engineering, Imperial College London, South Kensington Campus, London, UK.
  • S Sriskandan
    National Institute for Health Research Health Protection Research Unit in Healthcare Associated Infections and Antimicrobial Resistance, Imperial College London, Hammersmith Campus, Du Cane Road, London, UK.
  • P Georgiou
    Department of Electrical and Electronic Engineering, Imperial College London, South Kensington Campus, London, UK.
  • A H Holmes
    National Institute for Health Research Health Protection Research Unit in Healthcare Associated Infections and Antimicrobial Resistance, Imperial College London, Hammersmith Campus, Du Cane Road, London, UK.

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