Visualisation of Clinical and Non-clinical Characteristics of Patients with Behavioural and Psychological Symptoms of Dementia

IF 1.3 Q4 ENGINEERING, BIOMEDICAL Computer Methods in Biomechanics and Biomedical Engineering-Imaging and Visualization Pub Date : 2008-07-09 DOI:10.1109/MEDIVIS.2008.20

V. Vickland, H. Brodaty

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引用次数: 7

Abstract

We created a computer model with a user-friendly graphical interface that could tell an accurate and engaging story about the management of patients with behavioural and psychological symptoms of dementia (BPSD) in Alzheimerpsilas disease. The agent-based model was built using the AnyLogic development platform and calibrated with data on prevalence and incidence of dementia in the Australian population. The graphical user interface of the model consisted of multiple screens and was intended as a tool for information visualisation and virtual experiments. The dynamic progression of the symptoms and each patientpsilas individual characteristics such as age, gender and place of residence were integrated into one model. The preliminary results indicate that simulation modelling approach and application of multiple icons in graphical representation of each individual patient are efficient tools for information visualisation in agent-based model. The dual graphical representation of individual patients allowed for simultaneous display of clinical e.g. symptom-specific and non-clinical e.g. accommodation characteristics.

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痴呆患者行为和心理症状的临床和非临床特征可视化

我们创建了一个计算机模型，具有用户友好的图形界面，可以准确和引人入胜地讲述阿尔茨海默病中痴呆症行为和心理症状(BPSD)患者的管理故事。基于主体的模型是使用AnyLogic开发平台建立的，并使用澳大利亚人口中痴呆患病率和发病率的数据进行校准。该模型的图形用户界面由多个屏幕组成，旨在作为信息可视化和虚拟实验的工具。将症状的动态进展和患者的年龄、性别、居住地等个体特征整合到一个模型中。初步结果表明，仿真建模方法和在每个个体患者的图形表示中应用多个图标是基于智能体模型的信息可视化的有效工具。个体患者的双重图形表示允许同时显示临床(如症状特异性)和非临床(如适应性)特征。

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来源期刊

Computer Methods in Biomechanics and Biomedical Engineering-Imaging and Visualization ENGINEERING, BIOMEDICAL-

CiteScore

2.80

自引率

6.20%

发文量

102

期刊介绍： Computer Methods in Biomechanics and Biomedical Engineering: Imaging & Visualization is an international journal whose main goals are to promote solutions of excellence for both imaging and visualization of biomedical data, and establish links among researchers, clinicians, the medical technology sector and end-users. The journal provides a comprehensive forum for discussion of the current state-of-the-art in the scientific fields related to imaging and visualization, including, but not limited to: Applications of Imaging and Visualization Computational Bio- imaging and Visualization Computer Aided Diagnosis, Surgery, Therapy and Treatment Data Processing and Analysis Devices for Imaging and Visualization Grid and High Performance Computing for Imaging and Visualization Human Perception in Imaging and Visualization Image Processing and Analysis Image-based Geometric Modelling Imaging and Visualization in Biomechanics Imaging and Visualization in Biomedical Engineering Medical Clinics Medical Imaging and Visualization Multi-modal Imaging and Visualization Multiscale Imaging and Visualization Scientific Visualization Software Development for Imaging and Visualization Telemedicine Systems and Applications Virtual Reality Visual Data Mining and Knowledge Discovery.