Adaptive biomedical treatment and robust control

Clairon, Q. and Wilson, E.D. and Henderson, R. and Taylor, C.J. (2017) Adaptive biomedical treatment and robust control. IFAC-PapersOnLine, 50 (1). pp. 12191-12196. ISSN 2405-8963

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Abstract

Abstract An adaptive treatment strategy is a set of rules for choosing effective medical treatments for individual patients. In the statistical literature, methods for optimal dynamic treatment (ODT) include Q-learning and A-learning methods, which are linked to machine learning in engineering and computer science. The research project behind this article aims to develop new methodology for both ODT and engineering control, through the integration of techniques and approaches that have been developed in both fields, with a particular focus on the problem of robustness. The methodological framework is based on a regret-regression approach from the statistical literature and non-minimal state-space methods from control. This article provides an introduction to some of these concepts and presents preliminary novel contributions based on the application of robust H∞ methods to ODT problems.

Item Type:
Journal Article
Journal or Publication Title:
IFAC-PapersOnLine
Subjects:
ID Code:
88441
Deposited By:
Deposited On:
02 Nov 2017 16:44
Refereed?:
Yes
Published?:
Published
Last Modified:
01 Oct 2020 02:13