Immune System Model Calibration by Genetic Algorithm

We aim to develop a mathematical model of the human immune system for advanced individualized healthcare where medication plan is fine-tuned to fit a patient's conditions through monitored biochemical processes. One of the challenges is calibrating model parameters to satisfy existing experimen...

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Bibliographic Details
Published in:Procedia computer science 2016, Vol.101, p.161-171
Main Authors: Presbitero, Alva, Krzhizhanovskaya, Valeria, Mancini, Emiliano, Brands, Ruud, Sloot, Peter
Format: Article
Language:English
Subjects:
Genetic Algorithm
Innate Immune System Model
Mathematical Modeling
Reproducibility
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Summary:We aim to develop a mathematical model of the human immune system for advanced individualized healthcare where medication plan is fine-tuned to fit a patient's conditions through monitored biochemical processes. One of the challenges is calibrating model parameters to satisfy existing experimental data or prior knowledge about the system behavior. In this paper, we apply genetic algorithm to find model parameters reproducing the results of modeling human innate immune system by Pigozzo et al.
ISSN:1877-0509
1877-0509
DOI:10.1016/j.procs.2016.11.020