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Agent-based simulation patient model for colon and colorectal cancer care trajectory

Karam Mustapha, Quentin Gilli, Jean-Marc Frayret, Nadia Lahrichi and Elnaz Karimi

Article (2016)

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Abstract

Colon and Colorectal cancer are a diagnosis of particular concern for older Canadians. They are the second cancer in terms of rate of incidence and mortality among Canadians after lung cancer. Treatment of colon and colorectal cancer requires a complex decision-making process of treatment. These treatments may involve surgery and either pre- or post-operative radiation or chemotherapy, which can have a great impact on the quality of life of patients due to the rigorous requirements of treatment and the inconvenient side effects. This paper is the first developmental step of an agent-based simulation platform aiming at simulating colon and colorectal cancer patient care trajectories in a hospital. In this study, we describe a virtual patient agent, which includes a cancer evolution model, capable of replicating cancer behavior in response to treatment. Simulation results show promising interpolation results with respect to chemotherapy dosage and radiotherapy dosage. However, the model ability to interpolate different administration protocols is still limited, and therefore require calibration for each protocol.

Uncontrolled Keywords

Agent-based simulation, cancer evolution model, virtual patient.

Subjects: 1900 Biomedical engineering > 1901 Biomedical technology
Department: Department of Mathematics and Industrial Engineering
PolyPublie URL: https://publications.polymtl.ca/5044/
Journal Title: Procedia Computer Science (vol. 100)
Publisher: Elsevier
DOI: 10.1016/j.procs.2016.09.140
Official URL: https://doi.org/10.1016/j.procs.2016.09.140
Date Deposited: 20 Dec 2022 10:03
Last Modified: 13 May 2023 21:38
Cite in APA 7: Mustapha, K., Gilli, Q., Frayret, J.-M., Lahrichi, N., & Karimi, E. (2016). Agent-based simulation patient model for colon and colorectal cancer care trajectory. Procedia Computer Science, 100, 188-197. https://doi.org/10.1016/j.procs.2016.09.140

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