Model predictive control for the prescription of antithyroid agents

Maylin Menzel; Tobias M. Wolff; Johannes W. Dietrich; Matthias A. Müller

Proceedings on Automation in Medical Engineering
Vol. 2 No. 1 (2023): Proc AUTOMED

Modelling and control, ID 728

Model predictive control for the prescription of antithyroid agents

Maylin Menzel (Leibniz Universität Hannover), Tobias M. Wolff (Leibniz University Hannover, Institute of Automatic Control, Germany), Johannes W. Dietrich (Diabetes, Endocrinology and Metabolism Section, Department of Internal Medicine I, St. Josef Hospital, Ruhr University Bochum, Germany; Diabetes Centre Bochum-Hattingen, St. Elisabeth-Hospital Blankenstein, Hattingen, Germany; Ruhr Center for RareDiseases (CeSER), Ruhr University of Bochum and Witten/Herdecke University, Bochum, Germany), Matthias A. Müller (Leibniz University Hannover, Institute of Automatic Control, Germany)

Abstract

Abstract: Although hyperthyroidism is a common disease, the pharmaceutical therapy is based on a trial-and-error approach. We extend a mathematical model of the pituitary-thyroid feedback loop such that the intake of one antithyroid agent, namely methimazole (MMI), can be considered and use a model predictive control (MPC) scheme to determine suitable dosages.

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