Identifying influenza-like illness presentation from unstructured general practice clinical narrative using a text classifier rule-based expert system versus a clinical expert.

Journal: BMC medical informatics and decision making
PMID: 26445235

Abstract

BACKGROUND: We designed and validated a rule-based expert system to identify influenza like illness (ILI) from routinely recorded general practice clinical narrative to aid a larger retrospective research study into the impact of the 2009 influenza pandemic in New Zealand.

Authors

  • Jayden MacRae
    Patients First, Wellington, New Zealand. jayden.macrae@patientsfirst.org.nz.
  • Tom Love
    Sapere Research Group, Wellington, New Zealand.
  • Michael G Baker
    Department of Public Health, University of Otago Wellington, Wellington, New Zealand.
  • Anthony Dowell
    Department of Primary Health Care & General Practice, University of Otago Wellington, Wellington, New Zealand.
  • Matthew Carnachan
    Compass Health, Wellington, New Zealand.
  • Maria Stubbe
    Department of Primary Health Care & General Practice, University of Otago Wellington, Wellington, New Zealand.
  • Lynn McBain
    Department of Primary Health Care & General Practice, University of Otago Wellington, Wellington, New Zealand.

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