Automated remote decision-making algorithm as a primary triage system using machine learning techniques.

Journal: Physiological measurement
Published Date: Mar 11, 2021

Abstract

OBJECTIVE: An objective and convenient primary triage procedure is needed for prioritizing patients who need help in mass casualty incident (MCI) situations, where there is a lack of medical staff and available resources. This study aimed to develop an automated remote decision-making algorithm that remotely categorize a patient's emergency level using clinical parameters that can be measured with a wearable device.

Authors

  • Dohyun Kim
    Convergence Research Center for Diagnosis, Treatment, and Care of Dementia, Korea Institute of Science and Technology, Seoul, South Korea.
  • Jewook Chae
    Ground Technology Research Institute, Agency for Defense Development, Daejeon, Republic of Korea.
  • Yunjung Oh
    Ground Technology Research Institute, Agency for Defense Development, Daejeon, Republic of Korea.
  • Jongshill Lee
    Department of Biomedical Engineering, Hanyang University, Seoul, South Korea.
  • In Young Kim
    Department of Biomedical Engineering, Hanyang University, Seoul, South Korea.

Keywords

External Resources

Popular Topics
Recent Journals