Visual Analytics for Systematic Reviews According to PRISMA

Lennart B. Sina, Kawa Nazemi
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引用次数: 1

Abstract

Systematic reviews play an essential role in various disciplines. Particularly, in biomedical sciences, systematic reviews according to a predefined schema and protocol are how related literature is analyzed. Although a protocol-based systematic review is replicable and provides the required information to reproduce each step and refine them, such a systematic review is time-consuming and may get complex. To face this challenge, automatic methods can be applied that support researchers in their systematic analysis process. The combination of artificial intelligence for automatic information extraction from scientific literature with interactive visualizations as a Visual Analytics system can lead to sophisticated analysis and protocoling of the review process. We introduce in this paper a novel Visual Analytics approach and system that enables researchers to visually search and explore scientific publications and generate a protocol based on the PRISMA protocol and the PRISMA statement.
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根据PRISMA,用于系统评论的可视化分析
系统综述在各个学科中都扮演着重要的角色。特别是在生物医学科学中,根据预定义的模式和协议进行系统综述是如何分析相关文献的。尽管基于协议的系统评审是可复制的,并且提供了重现每个步骤并细化它们所需的信息,但是这样的系统评审是耗时的,并且可能变得复杂。为了应对这一挑战,可以应用自动化方法来支持研究人员进行系统分析过程。将用于从科学文献中自动提取信息的人工智能与交互式可视化相结合,作为可视化分析系统,可以对审查过程进行复杂的分析和协议处理。本文介绍了一种新的可视化分析方法和系统,使研究人员能够可视化地搜索和探索科学出版物,并基于PRISMA协议和PRISMA声明生成协议。
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