14th IFAC Symposium on System Identification, SYSID 2006

SYSID-2006 Paper Abstract


Paper WeB4.6

Van Herpe, Tom (Katholieke Univ. Leuven), Espinoza, Marcelo (Katholieke Univ. Leuven), Pluymers, Bert (Katholieke Univ. Leuven), Wouters, Pieter (Katholieke Univ. Leuven), De Smet, Frank (Katholieke Univ. Leuven), Van den Berghe, Greet (Katholieke Univ. Leuven), De Moor, Bart (Katholieke Univ. Leuven)

Development of a Critically Ill Patient Input-Output Model

Scheduled for presentation during the Invited Session "Biomedical Parameter Identification: Methods and Clinical Applications" (WeB4), Wednesday, March 29, 2006, 17:10−17:30, Cummings Room

14th IFAC Symposium on System Identification, March 29 - 31, 2006, Newcastle, Australia

This information is tentative and subject to change. Compiled on July 22, 2018

Keywords Biological Systems, Grey Box Modelling


In this paper we apply system identification in order to build a model suitable for prediction of the glycemia levels of critically ill patients in the Intensive Care Unit. These patients typically show increased glycemia levels, and it has been shown that glycemia control by means of insulin therapy reduces morbidity and mortality. Based on a real-life dataset from 41 critically ill patients, an ARX model is estimated which captures the insulin effect on glycemia under different settings. The results are satisfactory both in terms of forecasting ability and in the clinical interpretation of the estimated coefficients.