Name
Abstract | ||
|---|---|---|
In this study, we propose a model that helps to analyze the behavior of chronic disease patients with a focus on heart failure patients based on their lifestyle. We consider how living conditions affect signs and symptoms of chronic disease and, accordingly, how these signs and symptoms affect chronic disease stability. We use an agent-based model, a state machine, and a fuzzy logic system to develop the model. Specifically, we model the required "living condition" parameters that can influence required medical variables. These variables determine the stability class of chronic disease. The model allows creation of virtual patients with a given pathology and analysis of their impact on quality of the Emergency Department. Analysis of the Emergency Department’s quality based on modeling and simulation enables us to develop new planning strategies for efficient care systems. |
Year | DOI | Venue |
|---|---|---|
2018 | 10.1109/WSC.2018.8632508 | WSC |
Keywords | Field | DocType |
Diseases,Fuzzy logic,Mathematical model,Heart,Stability analysis,Hospitals | Fuzzy logic system,Systems engineering,Modeling and simulation,Emergency department,Computer science,Fuzzy logic,Risk analysis (engineering),Finite-state machine,Chronic disease | Conference |
ISSN | ISBN | Citations |
0891-7736 | 978-1-5386-6572-5 | 0 |
PageRank | References | Authors |
0.34 | 0 | 5 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Elham Shojaei | 1 | 0 | 0.68 |
| Emilio Luque | 2 | 1097 | 176.18 |
| Dolores Rexachs | 3 | 195 | 43.20 |
| Alvaro Wong | 4 | 37 | 8.11 |
| Francisco Epelde | 5 | 86 | 10.21 |