Husmeier, D. and Paun, L. M. (2020) Closed-loop effects in coupling cardiac physiological models to clinical interventions. In: Irigoien, I., Lee, D.-J., Martínez-Minaya, J. and Rodríguez-Álvarez, M. X. (eds.) Proceedings of the 35th International Workshop on Statistical Modelling. Servicio Editorial de la Universidad del País Vasco: Bilbao, Spain, pp. 120-125. ISBN 9788413192673
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Abstract
There have been impressive methodological advancements in the mathematical modelling of cardio-physiological processes. The majority of recent articles 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 to the clinical decision process, new challenges arise. This paper briefly discusses the complications that poten- tially result from closed-loop effects, and the model extensions that are required to reduce the ensuing bias.
Item Type: | Book Sections |
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Keywords: | Closed-loop effect, physiological model, pulmonary hypertension. |
Status: | Published |
Glasgow Author(s) Enlighten ID: | Paun, Dr Mihaela and Husmeier, Professor Dirk |
Authors: | Husmeier, D., and Paun, L. M. |
College/School: | College of Science and Engineering > School of Mathematics and Statistics > Statistics |
Publisher: | Servicio Editorial de la Universidad del País Vasco |
ISBN: | 9788413192673 |
Copyright Holders: | Copyright © 2020 Servicio Editorial de la Universidad del País Vasco Euskal Herriko Unibertsitateko Argitalpen Zerbitzua |
First Published: | First published in Proceedings of the 35th International Workshop on Statistical Modelling. Volume 1: 120-125 |
Publisher Policy: | Reproduced in accordance with the publisher copyright policy |
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