Agent-based Modelling for the Self-Management of Chronic Diseases: An Exploratory Study


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Sara Montagna, Andrea Omicini

Simulation: Transactions of the Society for Modeling and Simulation International 93(9), pages 781-793
September 2017

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.

(keywords) Agent-based modelling, healthcare, self-management

Special Issue on Artificial Intelligence in Modeling and Simulation

Journals & Series

Publication

— authors

— editors

Tülay Yıldırım, Giancarlo Fortino

— status

published

— sort

article in journal

— publication date

September 2017

— journal

Simulation: Transactions of the Society for Modeling and Simulation International

— volume

93

— issue

9

— pages

781-793

URLs

original page

identifiers

— DOI

10.1177/0037549717712605

— ACM

3197220

— DBLP

journals/simulation/MontagnaO17

— IRIS

11585/602748

— Scholar

8790562450685014231

— Scopus

2-s2.0-85027678799

— WoS / ISI

000407917500007

— print ISSN

0037-5497

— online ISSN

1741-3133

notes

— note

Special Issue on Artificial Intelligence in Modeling and Simulation

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