MODELLING GLYCAEMIA IN ICU PATIENTS - A Dynamic Bayesian Network Approach

Catherine G. Enright, Michael G. Madden, Stuart Russell, Norm Aleks, Geoffrey Manley, John Laffey, Brian Harte, Anne Mulvey, Niall Madden


Presented in this paper is a Dynamic Bayesian Network (DBN) approach to predict glycaemia levels in intensive care patients. The occurrence of hyperglycaemia is associated with increased morbidity and mortality in critically ill patients. Due to the large inter-patient and intra-patient variability, the sparse nature of observations, inaccuracies in the data and the large number of factors that influence glycaemia, the system being modelled contains several sources of uncertainty. In the context of this uncertainty, the DBN-based system presented here performs extremely well. By using a DBN we integrate multiple strands of temporal evidence, arriving at varying time intervals, to determine the most probable underlying explanations. A key contribution of this work is that it presents a principled technique for recalibration of model parameters from general population-level values to patient-specific values, based entirely on standard real-time measurements from the patient. While in this paper we apply our approach to the glycaemia problem, this approach is equally applicable to other applications where unseen variables must be assessed and individualized in real time.


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Paper Citation

in Harvard Style

G. Enright C., G. Madden M., Russell S., Aleks N., Manley G., Laffey J., Harte B., Mulvey A. and Madden N. (2010). MODELLING GLYCAEMIA IN ICU PATIENTS - A Dynamic Bayesian Network Approach . In Proceedings of the Third International Conference on Bio-inspired Systems and Signal Processing - Volume 1: BIOSIGNALS, (BIOSTEC 2010) ISBN 978-989-674-018-4, pages 452-459. DOI: 10.5220/0002750804520459

in Bibtex Style

author={Catherine G. Enright and Michael G. Madden and Stuart Russell and Norm Aleks and Geoffrey Manley and John Laffey and Brian Harte and Anne Mulvey and Niall Madden},
title={MODELLING GLYCAEMIA IN ICU PATIENTS - A Dynamic Bayesian Network Approach},
booktitle={Proceedings of the Third International Conference on Bio-inspired Systems and Signal Processing - Volume 1: BIOSIGNALS, (BIOSTEC 2010)},

in EndNote Style

JO - Proceedings of the Third International Conference on Bio-inspired Systems and Signal Processing - Volume 1: BIOSIGNALS, (BIOSTEC 2010)
TI - MODELLING GLYCAEMIA IN ICU PATIENTS - A Dynamic Bayesian Network Approach
SN - 978-989-674-018-4
AU - G. Enright C.
AU - G. Madden M.
AU - Russell S.
AU - Aleks N.
AU - Manley G.
AU - Laffey J.
AU - Harte B.
AU - Mulvey A.
AU - Madden N.
PY - 2010
SP - 452
EP - 459
DO - 10.5220/0002750804520459