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首页> 外文会议>Knowledge representation for health-care >META-GLARE: A Meta-System for Defining Your Own CIG System: Architecture and Acquisition
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META-GLARE: A Meta-System for Defining Your Own CIG System: Architecture and Acquisition

机译：META-GLARE：定义您自己的CIG系统的元系统：体系结构和获取

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Clinical practice guidelines (CPGs) play an important role in medical practice, and computerized support to CPGs is now one of the most central areas of research in Artificial Intelligence in medicine. In recent years, many groups have developed different computer-assisted management systems of Computer Interpretable Guidelines (CIGs). From one side, there are several commonalities between different approaches; from the other side, each approach has its own peculiarities and is geared towards the treatment of specific phenomena. In our work, we propose a form of generalization: instead of defining "yet another CIG system", we propose a META-GLARE, a "meta"-system (or, in other words, a shell) to define new CIG systems. From one side, we try to capture the commonalities, by providing (ⅰ) a general tool for the acquisition, consultation and execution of hierarchical directed graphs (representing the control flow of actions in CIGs), parameterized over the types of nodes and of arcs constituting it, and (ⅱ) a library of different elementary components of guidelines nodes (actions) and arcs, in which each type definition involves the specification of how objects of this type can be acquired, consulted and executed. From the other side, we provide generality and flexibility, by allowing free aggregations of such elementary components to define new primitive node and arc types. In this paper, we first propose META-GLARE general architecture and then, for the sake of brevity, we will focus only on the acquisition issue.
机译：临床实践指南（CPG）在医学实践中起着重要作用，而对CPG的计算机化支持现已成为医学上人工智能研究的最主要领域之一。近年来，许多小组已经开发了不同的计算机辅助指导原则（CIG）的计算机辅助管理系统。从一方面来看，不同方法之间存在一些共性。从另一方面来说，每种方法都有其独特之处，并且适合于处理特定现象。在我们的工作中，我们提出了一种概括形式：不是定义“另一个CIG系统”，而是提出一个META-GLARE，一个“元”系统（或换句话说，一个外壳）来定义新的CIG系统。一方面，我们尝试通过提供（ⅰ）一个通用工具来捕获共性，该工具用于获取，咨询和执行分层有向图（表示CIG中动作的控制流），对节点和弧的类型进行参数化（ⅱ）一个由指南节点（动作）和弧组成的不同基本组件的库，其中每个类型定义都涉及如何获取，查询和执行此类型对象的规范。另一方面，通过允许这些基本组件的自由聚合来定义新的原始节点和弧类型，我们提供了通用性和灵活性。在本文中，我们首先提出META-GLARE通用体系结构，然后，为了简洁起见，我们将仅关注获取问题。

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