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数据挖掘方法在胸外科中的知识表示形式。

Knowledge representation forms for data mining methodologies as applied in thoracic surgery.

作者信息

Kircher A, Granfeldt H, Babic A, Antonsson J, Lönn U, Ahn H C

机构信息

Department of Biomedical Engineering, Linköpings University, Sweden.

出版信息

Proc AMIA Symp. 2000:428-32.

Abstract

Typical ways of disseminating and using results of clinical research are scientific journals and reports. Presentation forms are condensed and comprehensible mainly to the experts following the specific topics. A vast amount of information remains unutilized due to the complex form of presenting the knowledge. Subject of this research is to explore possibilities of representation and also visualization of the results obtained using data mining methodologies. The intention is to formulate more than scientific ways to communicate facts that are of interest for the clinicians, medical students and even patients. Internet technologies as already widely established media support knowledge representation forms such as hypertext documents and structured knowledge components. The "Assist Me" decision support system for surgical treatment of cardiac patients integrates several forms of data mining and representation methodologies. We are showing a feasibility study in which scientific outcomes were forwarded to a broad group of potential users.

摘要

传播和使用临床研究结果的典型方式是科学期刊和报告。其呈现形式经过浓缩,主要供关注特定主题的专家理解。由于知识呈现形式复杂,大量信息未得到利用。本研究的主题是探索使用数据挖掘方法获得的结果的表示及可视化可能性。目的是制定出不止科学的方式来传达临床医生、医学生甚至患者感兴趣的事实。互联网技术作为已广泛确立的媒介,支持超文本文档和结构化知识组件等知识表示形式。用于心脏病人外科治疗的“协助我”决策支持系统整合了多种数据挖掘和表示方法。我们展示了一项可行性研究,其中将科学成果传达给了广大潜在用户群体。

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