CCMapper: An adaptive NLP-based free-text chief complaint mapping algorithm.

Journal: Computers in biology and medicine
Published Date: Oct 1, 2019

Abstract

OBJECTIVE: Chief complaint (CC) is among the earliest health information recorded at the beginning of a patient's visit to an emergency department (ED). We propose a heuristic methodology for automatically mapping the free-text data into a structured list of CCs.

Authors

  • Mohammad Samie Tootooni
    Department of Health Informatics and Data Science, Loyola University Chicago, Maywood, IL, USA; Center for Health Outcomes and Informatics Research, Loyola University Chicago, Maywood, IL, USA. Electronic address: MTootooni@luc.edu.
  • Kalyan S Pasupathy
    Mayo Clinic Rochester, MN.
  • Heather A Heaton
    Department of Emergency Medicine, Mayo Clinic, Rochester, MN, USA. Electronic address: Heaton.Heather@mayo.edu.
  • Casey M Clements
    Department of Emergency Medicine, Mayo Clinic, Rochester, MN, USA. Electronic address: Clements.Casey@mayo.edu.
  • Mustafa Y Sir
    Department of Health Sciences Research, Mayo Clinic, Rochester, MN, USA; Robert D. and Patricia E. Kern Center for the Science of Health Care Delivery, Mayo Clinic, Rochester, MN, USA. Electronic address: sir.mustafa@mayo.edu.

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