Visualization and data analysis最新文献_第2页

Mesh distance for dimension reduction and visualization of numerical simulation data 网格距离降维和数值模拟数据可视化

Visualization and data analysis Pub Date : 2023-01-16 DOI: 10.2352/ei.2023.35.1.vda-392

Shawn Martin, Milosz A. Sielicki, Matthew Letter, Jaxon Gittinger, Warren L. Hunt, Patricia J. Crossno

引用次数: 0

Computer-supported expert-guided experiential learning-based tools for healthcare skills 针对医疗保健技能的基于计算机支持的专家指导的体验式学习工具

Visualization and data analysis Pub Date : 2023-01-16 DOI: 10.2352/ei.2023.35.1.vda-399

D. B. Patel, T. Wischgoll, Yong Pei, Angela Castle, Anne Proulx, Danielle Gainer, T. Crawford, Autumn M James, Ashutosh Shivakumar, C. Pennington, Hanna Peterson, C. B. N. Medina, Sindhu Kumari, Mark Alow, Sri Lekha Koppaka, Cassandra Mae Patel, Joshua Patel, Neha Priyadarshani, P. Hershberger

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VVAFER - Versatile visual analytics framework for exploration and research VVAFER -用于探索和研究的多功能可视化分析框架

Visualization and data analysis Pub Date : 2023-01-16 DOI: 10.2352/ei.2023.35.1.vda-402

Moritz Zeumer, J. Gilg, Pawandeep Kaur Betz, A. Gerndt

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CPViz: Visualizing clinical pathways represented in higher-order networks CPViz:在高阶网络中表现临床路径的可视化

Visualization and data analysis Pub Date : 2023-01-16 DOI: 10.2352/ei.2023.35.1.vda-395

J. Chae, Byung H. Park, Minsu Kim, E. Rush, Ö. Özmen, Makoto L. Jones, M. Ward, J. Nebeker

{"title":"CPViz: Visualizing clinical pathways represented in higher-order networks","authors":"J. Chae, Byung H. Park, Minsu Kim, E. Rush, Ö. Özmen, Makoto L. Jones, M. Ward, J. Nebeker","doi":"10.2352/ei.2023.35.1.vda-395","DOIUrl":"https://doi.org/10.2352/ei.2023.35.1.vda-395","url":null,"abstract":"To improve clinical care practice, it is important to understand the variability of clinical pathways executed in different contexts (e.g., pathways in different geographical locations, demographics, and phenotypic groups). A common way of representing clinical pathways is through network-based representations that capture the trajectories of treatment steps. However, ﬁrst-order networks, which are based on the Markovian property and the de facto standard model to represent transitions between steps, often fail to capture real trajectories. This paper introduces a visual analytic tool to explore and compare pathways represented in higher-order networks. Because each higher node in the network is a sub-trajectory (i.e., partial or full history of treatment steps), the tool can display true sequences of treatment steps and compute the similarity of the two networks in the space of higher-order nodes. The tool also highlights areas where the two networks are similar and dissimilar and how a certain sub-trajectory is realized differently in different pathways. The paper demonstrates the tool’s usefulness by applying it to multiple antidepressant pharmacotherapy pathways for veterans diagnosed with major depressive disorder and by illustrating heterogeneity in prescription patterns across pathways.","PeriodicalId":89305,"journal":{"name":"Visualization and data analysis","volume":"28 1","pages":"1-8"},"PeriodicalIF":0.0,"publicationDate":"2023-01-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"75168410","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

AR visualization for coastal water navigation 沿海水域导航的AR可视化

Visualization and data analysis Pub Date : 2022-01-01 DOI: 10.2352/EI.2022.34.1.VDA-408

Randy Herritt, Stephen Brooks

引用次数: 0

On the suitability of current augmented reality head-mounted devices 关于当前增强现实头戴式设备的适用性

Visualization and data analysis Pub Date : 2022-01-01 DOI: 10.2352/EI.2022.34.1.VDA-407

S. Menon, T. Wischgoll

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Visualizing semantic 3D object clouds 可视化语义3D对象云

Visualization and data analysis Pub Date : 2022-01-01 DOI: 10.2352/EI.2022.34.1.VDA-414

Bola Okesanjo, Stephen Brooks

引用次数: 0

Visualizing and Slicing Topological Surfaces in Four Dimensions 四维拓扑表面的可视化和切片

Visualization and data analysis Pub Date : 2022-01-01 DOI: 10.2352/j.imagingsci.technol.2021.65.6.060410

Huan Liu, Hui Zhang

{"title":"Visualizing and Slicing Topological Surfaces in Four Dimensions","authors":"Huan Liu, Hui Zhang","doi":"10.2352/j.imagingsci.technol.2021.65.6.060410","DOIUrl":"https://doi.org/10.2352/j.imagingsci.technol.2021.65.6.060410","url":null,"abstract":"Smooth topological surfaces embedded in 4D create complex internal structures in their projected 3D figures. Often these 3D figures twist, turn, and fold back on themselves, leaving important properties behind the surface sheets. Triangle meshes are not well suited for illustrating such internal structures and their topological features. In this paper, we propose a new approach to visualize these internal structures by slicing the 4D surfaces in our dimensions and revealing the underlying 4D structures using their cross-sectional diagrams. We think of a 4D-embedded surface as a collection of 3D curves stacked and evolved in time, very much like a 3D movie in a time-elapse form; and our new approach is to translate a surface in 4-space into such a movie — a sequence of time-lapse frames where successive terms in the sequence differ at most by a critical change. The visualization interface presented in this paper allows us to interactively define the longitudinal axis, and the automatic algorithms can partition the 4D surface into parallel slices and expose its internal structure by generating a time-lapse movie consisting of topologically meaningful cross-sectional diagrams from the representative slices. We have extracted movies from a range of known 4D mathematical surfaces with our approach. The results of the usability study show that the proposed slicing interface allows a mathematically true user experience with surfaces in four dimensions.","PeriodicalId":89305,"journal":{"name":"Visualization and data analysis","volume":"5 1","pages":"1-11"},"PeriodicalIF":0.0,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"83082924","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

CoursePathVis: Course path visualization using flexible grouping and funnel-augmented Sankey diagram CoursePathVis:使用灵活分组和通道增强Sankey图的课程路径可视化

Visualization and data analysis Pub Date : 2022-01-01 DOI: 10.2352/EI.2022.34.1.VDA-413

Brendan J. O'Handley, Morgan K. Ludwig, Samantha R. Allison, M. Niemier, Shreya Kumar, R. Bualuan, Chaoli Wang

引用次数: 0

Nirmaan: Dataset generation for multiclass scatterplot studies 多类散点图研究的数据集生成

Visualization and data analysis Pub Date : 2022-01-01 DOI: 10.2352/EI.2022.34.1.VDA-415

Allison Wong, Alark Joshi, Sophie Engle

引用次数: 0