Evaluation of insulin sensitivity temporal prediction by using quantile regression combined with neural network model.

Journal: International journal of medical informatics
Published Date: May 8, 2025

Abstract

BACKGROUND: Stress-induced hyperglycemia, a pathologically high blood glucose level, is a frequent complication in intensive care units. Blood glucose (BG) level control is crucial but challenging due to patient variability. The Stochastic TARgeted (STAR) protocol is clinically used for blood glucose control, which uses the current and predicted future patient insulin sensitivity (SI) parameter to assess BG outcomes of alternative treatment options.

Authors

  • Omer S Alkhafaf
    Budapest University of Technology and Economics, Faculty of Electrical Engineering and Information Technology, Department of Control Engineering and Information Technology, Budapest, Hungary; College of Dentistry, University of Mosul, Mosul, Iraq. Electronic address: alkhafaf@iit.bme.hu.
  • J Geoffrey Chase
    Department of Mechanical Engineering, University of Canterbury, Christchurch, New Zealand.
  • Balázs Benyó
    Budapest University of Technology and Economics, Faculty of Electrical Engineering and Information Technology, Department of Control Engineering and Information Technology, Budapest, Hungary.

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