RenalViz:慢性肾脏病队列的可视化分析

IF 2.5 4区 计算机科学 Q2 COMPUTER SCIENCE, SOFTWARE ENGINEERING Computers & Graphics-Uk Pub Date : 2024-11-07 DOI:10.1016/j.cag.2024.104120
Markus Höhn , Sarah Schwindt-Drews , Sara Hahn , Sammy Patyna , Stefan Büttner , Jörn Kohlhammer
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引用次数: 0

摘要

慢性肾脏病(CKD)是一个突出的健康问题。渐进性慢性肾脏病会导致肾功能受损,患者血液过滤能力下降,引发多种并发症,如心脏病,最终导致患者死亡。在之前的工作中,我们开发了一个原型,帮助肾科医生全面了解他们的慢性肾功能衰竭患者。该原型根据成对的相似性将患者可视化为不同的队列。用户可以通过改变所含特征的基本权重来交互式地修改相似度。本文中的工作通过扩大数据集和应用程序的用户界面对之前的工作进行了扩展。为了重点区分各个 CKD 类别,我们引入了一种颜色方案,并在所有可视化过程中使用。此外,我们还采用了可视化技术,以同时显示多个患者的数据。这还涉及到将可视化与前哨点(如特定 CKD 阶段的开始)对齐的选项,以便量化所有选定患者与该事件相关的进展情况。原型是针对早期应用的改进潜力而开发的。另外一项关于直观性和可用性的用户研究证实了原型的良好效果,并对易于使用的方法进行了评估。
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RenalViz: Visual analysis of cohorts with chronic kidney disease
Chronic Kidney Disease (CKD) is a prominent health problem. Progressive CKD leads to impaired kidney function with decreased ability to filter the patients’ blood, concluding in multiple complications, like heart disease and ultimately death from the disease. In previous work, we developed a prototype to support nephrologists in gaining an overview of their CKD patients. The prototype visualizes the patients in cohorts according to their pairwise similarity. The user can interactively modify the similarity by changing the underlying weights of the included features. The work in this paper expands upon this previous work by the enlargement of the data set and the user interface of the application. With a focus on the distinction between individual CKD classes we introduce a color scheme used throughout all visualization. Furthermore, the visualizations were adopted to display the data of several patients at once. This also involved the option to align the visualizations to sentinel points, such as the onset of a particular CKD stage, in order to quantify the progression of all selected patients in relation to this event. The prototype was developed in response to the identified potential for improvement of the earlier application. An additional user study concerning the intuitiveness and usability confirms good results for the prototype and leads to the assessment of an easy-to-use approach.
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来源期刊
Computers & Graphics-Uk
Computers & Graphics-Uk 工程技术-计算机:软件工程
CiteScore
5.30
自引率
12.00%
发文量
173
审稿时长
38 days
期刊介绍: Computers & Graphics is dedicated to disseminate information on research and applications of computer graphics (CG) techniques. The journal encourages articles on: 1. Research and applications of interactive computer graphics. We are particularly interested in novel interaction techniques and applications of CG to problem domains. 2. State-of-the-art papers on late-breaking, cutting-edge research on CG. 3. Information on innovative uses of graphics principles and technologies. 4. Tutorial papers on both teaching CG principles and innovative uses of CG in education.
期刊最新文献
Enhancing Visual Analytics systems with guidance: A task-driven methodology Learning geometric complexes for 3D shape classification RenalViz: Visual analysis of cohorts with chronic kidney disease Enhancing semantic mapping in text-to-image diffusion via Gather-and-Bind CGLight: An effective indoor illumination estimation method based on improved convmixer and GauGAN
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