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Agent-based Modelling for the Self-Management of Chronic Diseases: An Exploratory Study
Sara Montagna, Andrea Omicini
The impact of mobile technologies on healthcare is particularly evident in the case of self-management of chronic diseases, where they can decrease spending and improve life quality of patients. We propose the adoption of agent-based modelling and simulation techniques as built-in tools to dynamically monitor patient health state and provide recommendations for self-management. To demonstrate the feasibility of our proposal we focus on Type 1 diabetes mellitus as our case study, and provide simulation results where the dynamic evolution of signal parameters is shown in the case of healthy and Type 1 diabetes mellitus patients, focussing in particular on the beneficial effects that self-management interventions have on plasma glucose values.
Tülay Yıldırım, Giancarlo Fortino (eds.), SAGE
Special Issue on Artificial Intelligence in Modeling and Simulation
@article{abmhealthcare-simulation93,
Author = {Montagna, Sara and Omicini, Andrea},
Doi = {10.1177/0037549717712605},
Editor = {Y{\i}ld{\i}r{\i}m, T{\"u}lay and Fortino, Giancarlo},
Issn = {0037-5497},
Issn-Online = {1741-3133},
Journal = {Simulation: Transactions of the Society for Modeling and Simulation International},
Keywords = {agent-based modelling, healthcare, self-management},
Month = sep,
Note = {Special Issue on Artificial Intelligence in Modeling and Simulation},
Number = 9,
Pages = {781--793},
Publisher = {SAGE},
ScopusId = {2-s2.0-85027678799},
Title = {Agent-based Modelling for the Self-Management of Chronic Diseases: An Exploratory Study},
Url = {http://journals.sagepub.com/doi/full/10.1177/0037549717712605},
WosId = {000407917500007},
Volume = 93,
Year = 2017}