Closed-loop effects in cardiovascular clinical decision support

Husmeier, D. and Paun, L. M. (2020) Closed-loop effects in cardiovascular clinical decision support. In: Ladde, G. and Samia, N. (eds.) Proceedings of the 2nd International Conference on Statistics: Theory and Applications (ICSTA'20). Avestia Publishing: Ottawa, Canada, p. 128. ISBN 9781927877685 (doi:10.11159/icsta20.128)

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Abstract

We have recently seen impressive methodological developments in quantitative cardiovascular physiology and pathophysiology, with novel mathematical models for the mechanical and electrophysiological processes of the heart, and fluid dynamical models to describe the pressure and flow distribution in the blood vessel network. This allows us to gain deeper insight into the state of a variety of serious cardiovascular diseases. The majority of recent research studies have focused on the forward problem: developing flexible mathematical models and robust numerical simulation procedures to match characteristics of physiological target data, and the inverse problem: inferring model parameters from cardiac physiological data with reliable uncertainty quantification. However, when connecting mathematical model predictions and statistical inference to the clinical decision process, new challenges arise. This paper briefly discusses the complications that potentially result from closed-loop effects, and the model extensions that are required to reduce the ensuing bias.

Item Type:Book Sections
Status:Published
Glasgow Author(s) Enlighten ID:Paun, Miss Luiza Mihaela and Husmeier, Professor Dirk
Authors: Husmeier, D., and Paun, L. M.
Subjects:Q Science > QA Mathematics
College/School:College of Science and Engineering > School of Mathematics and Statistics > Statistics
Publisher:Avestia Publishing
ISBN:9781927877685
Copyright Holders:Copyright © 2020 International ASET Inc.
First Published:First published in Proceedings of the 2nd International Conference on Statistics: Theory and Applications (ICSTA'20): 128
Publisher Policy:Reproduced in accordance with the publisher copyright policy

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Project CodeAward NoProject NamePrincipal InvestigatorFunder's NameFunder RefLead Dept
300982Exploiting Closed-Loop Aspects in Computationally and Data Intensive AnalyticsRoderick Murray-SmithEngineering and Physical Sciences Research Council (EPSRC)EP/R018634/1Computing Science
303232EPSRC Centre for Multiscale soft tissue mechanics with MIT and POLIMI (SofTMech-MP)Xiaoyu LuoEngineering and Physical Sciences Research Council (EPSRC)EP/S030875/1M&S - Mathematics
172141EPSRC Centre for Multiscale soft tissue mechanics with application to heart & cancerRaymond OgdenEngineering and Physical Sciences Research Council (EPSRC)EP/N014642/1M&S - Mathematics
305655Inference of cardio-mechanical parameters in real time: moving mathematical modelling into the clinicDirk HusmeierThe Royal Society of Edinburgh (ROYSOCED)62335M&S - Statistics