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

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

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VisualSphere:基于网络的临床研究数据交互式可视化系统。
临床研究数据可视化是理解生物医学研究和医疗保健数据不可或缺的一部分。数据的复杂性和多样性,以及对扎实编程技能的需求,阻碍了临床研究数据可视化的发展。为了克服这些挑战,我们推出了基于网络的交互式可视化系统 VisualSphere,该系统可直接与临床研究数据存储库对接,从而简化可视化工作流程。VisualSphere 基于三个主要组件模块:连接、配置和可视化。终端用户可以设置与数据存储库的连接,通过选择所需的表格和变量创建图表,并呈现由 Plotly 和 R/Shiny 生成的可视化仪表盘。我们对 VisualSphere 进行了初步评估,用户满意度很高。VisualSphere 有潜力成为适用于各种临床研究数据存储库的多功能工具,使研究人员能够高效地探索临床研究数据并与之互动。
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