Data-based Model Identification of the Hypothalamus-Pituitary-Thyroid Complex

Fuente: arXiv
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Auteurs principaux: Horvath, Clara, Körner, Andreas, Modiz, Corinna
Format: Preprint
Publié: 2023
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author Horvath, Clara
Körner, Andreas
Modiz, Corinna
author_facet Horvath, Clara
Körner, Andreas
Modiz, Corinna
contents The thyroid gland, in conjunction with the pituitary and the hypothalamus, forms a regulated system due to their mutual influence through released hormones. The equilibrium point of this system, commonly referred to as the "set point", is individually determined. This means that determining the correct amount of medication to be administered to patients with hypothyroidism requires several treatment appointments creating an extended treatment process. Because the dynamics of the system have not yet been fully explored, mathematical models are needed to simulate the mutual influence of the respective hormones as well as their course over time. These models enable a deeper understanding of the functionality in the context of data measurements. Therefore, two existing time-dependent mathematical models are used and further analyzed to replicate this overall influence of disparate systems. Both are based on a system of two differential equations modelling the interacting hormones. The parameters of the two models are identified according to different calibration approaches by means of patient data collected in a retrospective study in collaboration with the Medical University of Vienna. The hormonal course in the time domain as well as equilibrium curves including the set-point are then simulated and analyzed with respect to the normalized mean squared error. These calibrated systems allow a more profound insight into the functionality of the formed complex.
format Preprint
id arxiv_https___arxiv_org_abs_2312_11179
institution arXiv
publishDate 2023
record_format arxiv
spellingShingle Data-based Model Identification of the Hypothalamus-Pituitary-Thyroid Complex
Horvath, Clara
Körner, Andreas
Modiz, Corinna
Tissues and Organs
Dynamical Systems
The thyroid gland, in conjunction with the pituitary and the hypothalamus, forms a regulated system due to their mutual influence through released hormones. The equilibrium point of this system, commonly referred to as the "set point", is individually determined. This means that determining the correct amount of medication to be administered to patients with hypothyroidism requires several treatment appointments creating an extended treatment process. Because the dynamics of the system have not yet been fully explored, mathematical models are needed to simulate the mutual influence of the respective hormones as well as their course over time. These models enable a deeper understanding of the functionality in the context of data measurements. Therefore, two existing time-dependent mathematical models are used and further analyzed to replicate this overall influence of disparate systems. Both are based on a system of two differential equations modelling the interacting hormones. The parameters of the two models are identified according to different calibration approaches by means of patient data collected in a retrospective study in collaboration with the Medical University of Vienna. The hormonal course in the time domain as well as equilibrium curves including the set-point are then simulated and analyzed with respect to the normalized mean squared error. These calibrated systems allow a more profound insight into the functionality of the formed complex.
title Data-based Model Identification of the Hypothalamus-Pituitary-Thyroid Complex
topic Tissues and Organs
Dynamical Systems
url https://arxiv.org/abs/2312.11179