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一种用于生物医学研究中基于知识的统计分析系统前端的结构化视觉语言。

A structured visual language for a knowledge-based front-end to statistical analysis systems in biomedical research.

作者信息

Wittkowski K M

机构信息

Department of Computer Science, University of Pittsburgh, PA.

出版信息

Comput Methods Programs Biomed. 1991 May;35(1):59-67. doi: 10.1016/0169-2607(91)90105-3.

Abstract

Within the last few years, several knowledge-based systems for statistical analysis systems have been proposed (see Refs. 1-4 for references). Most of these systems provide so-called 'natural-language' interfaces for acquisition and application of meta-data. Since graphics have been very efficient in displaying results (e.g., as scatter, QQ and residual plots), some attempts have been made (cf. Refs. 5,6) to use graphics also to display knowledge of the statistical strategy. In the present paper I will concentrate on the visualization of knowledge of the experimental design and its impacts on the design of a structured visual syntax language for acquisition and application of this knowledge in the field of biomedical research.

摘要

在过去几年中,已经提出了几个用于统计分析系统的基于知识的系统(参考文献见1-4)。这些系统大多提供所谓的“自然语言”接口来获取和应用元数据。由于图形在显示结果方面非常有效(例如,作为散点图、QQ图和残差图),已经有人尝试(参见参考文献5、6)使用图形来显示统计策略的知识。在本文中,我将专注于实验设计知识的可视化及其对结构化视觉语法语言设计的影响,该语言用于在生物医学研究领域获取和应用此知识。

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