Suppr超能文献

VisualSphere:一个用于临床研究数据的基于网络的交互式可视化系统。

VisualSphere: a Web-based Interactive Visualization System for Clinical Research Data.

作者信息

Lin Shiwei, Tao Shiqiang, Chou Wei-Chun, Zhang Guo-Qiang, Li Xiaojin

机构信息

Department of Neurology, McGovern Medical School, The University of Texas Health Science Center at Houston, Houston, TX, 77030.

Texas Institute for Restorative Neurotechnologies, The University of Texas Health Science Center at Houston, Houston, TX, 77030.

出版信息

AMIA Jt Summits Transl Sci Proc. 2024 May 31;2024:603-612. eCollection 2024.

Abstract

Clinical research data visualization is integral to making sense of biomedical research and healthcare data. The complexity and diversity of data, along with the need for solid programming skills, can hinder advances in clinical research data visualization. To overcome these challenges, we introduce VisualSphere, a web-based interactive visualization system that directly interfaces with clinical research data repositories, streamlining and simplifying the visualization workflow. VisualSphere is founded on three primary component modules: Connection, Configuration, and Visualization. An end-user can set up connections to the data repositories, create charts by selecting the desired tables and variables, and render visualization dashboards generated by Plotly and R/Shiny. We performed a preliminary evaluation of VisualSphere, which achieved high user satisfaction. VisualSphere has the potential to serve as a versatile tool for various clinical research data repositories, enabling researchers to explore and interact with clinical research data efficiently and effectively.

摘要

临床研究数据可视化对于理解生物医学研究和医疗保健数据至关重要。数据的复杂性和多样性,以及对扎实编程技能的需求,可能会阻碍临床研究数据可视化的进展。为了克服这些挑战,我们引入了VisualSphere,这是一个基于网络的交互式可视化系统,它直接与临床研究数据存储库对接,简化并精简了可视化工作流程。VisualSphere基于三个主要组件模块:连接、配置和可视化。最终用户可以建立与数据存储库的连接,通过选择所需的表格和变量来创建图表,并呈现由Plotly和R/Shiny生成的可视化仪表板。我们对VisualSphere进行了初步评估,其获得了较高的用户满意度。VisualSphere有潜力成为适用于各种临床研究数据存储库的通用工具,使研究人员能够高效且有效地探索临床研究数据并与之交互。

相似文献

本文引用的文献

5
Wiz: A Web-Based Tool for Interactive Visualization of Big Data.Wiz:一个用于大数据交互式可视化的基于网络的工具。
Patterns (N Y). 2020 Sep 23;1(8):100107. doi: 10.1016/j.patter.2020.100107. eCollection 2020 Nov 13.
10
Clinical Data Visualization: The Current State and Future Needs.临床数据可视化:现状与未来需求
J Med Syst. 2016 Dec;40(12):275. doi: 10.1007/s10916-016-0643-x. Epub 2016 Oct 27.

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验