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Population Generation for Agent-based Simulations of Stroke Logistics Policies: A Case Study of Stroke Patient Mobility
Malmö University, Faculty of Technology and Society (TS), Department of Computer Science and Media Technology (DVMT).
Malmö University, Faculty of Technology and Society (TS), Department of Computer Science and Media Technology (DVMT). Malmö University, Internet of Things and People (IOTAP).ORCID iD: 0000-0002-8209-0921
Malmö University, Internet of Things and People (IOTAP). Malmö University, Faculty of Technology and Society (TS), Department of Computer Science and Media Technology (DVMT).
2022 (English)In: International Journal on Advances in Life Sciences, E-ISSN 1942-2660, Vol. 14, no 1&2, p. 12-21Article in journal (Refereed) Published
Abstract [en]

For acute medical conditions, for instance strokes, the time until the start of the treatment is a crucial factor to prevent a fatal outcome and to facilitate the recovery of the patient’s health. Hence, the planning and optimization of patient logistics is of high importance to ensure prompt access to healthcare facilities in case of medical emergencies. Computer simulation can be used to investigate the effects of different stroke logistics policies under realistic conditions without jeopardizing the health of the patients. The success of such policies greatly depends on the behavior of the individuals. Hence, agent-based simulation is particularly well-suited as it imitates human behavior and decision-making by means of artificial intelligence, which allows for investigating the effects of policies under different conditions. Agent-based simulation requires the generation of a realistic synthetic population, that adequately represents the population that shall be investigated such that reliable conclusions can be drawn from the simulation results. In this article, we propose a process for generating an artificial population of potential stroke patients that can be used to investigate the effects of stroke logistics policies using agent-based simulation. To illustrate how this process can be applied, we present the results from a case study in the region of Skåne in southern Sweden, where a synthetic population of stroke patients with realistic mobility behavior is simulated. 

Place, publisher, year, edition, pages
International Academy, Research and Industry Association (IARIA), 2022. Vol. 14, no 1&2, p. 12-21
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Computer and Information Sciences
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URN: urn:nbn:se:mau:diva-56757OAI: oai:DiVA.org:mau-56757DiVA, id: diva2:1719696
Available from: 2022-12-15 Created: 2022-12-15 Last updated: 2024-04-26Bibliographically approved

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Lorig, FabianHolmgren, Johan

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