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使用层次分类法的肿瘤学决策支持与知识管理

Decision support and knowledge management in oncology using hierarchical classification.

作者信息

D'Aquin Mathieu, Brachais Sébastien, Lieber Jean, Amedeo Napoli

机构信息

LORIA, UMR 7503 BP 239, INRIA, Nancy Universities, 54 506 Vandoeuvre-lès-Nancy.

出版信息

Stud Health Technol Inform. 2004;101:16-30.

PMID:15537203
Abstract

This paper presents the KASIMIR research project for the management of decision protocols in oncology. A decision protocol is a kind of decision tree implemented in an object-based representation formalism. A reasoner based on such a formalism and on hierarchical classification is coupled with a knowledge editor. This association provides an assistance for editing and maintenance of protocols, enabling the detection of errors and the comparison between versions of the protocol. In this way, a management of protocols takes fully advantage of the underlying knowledge representation and reasoning tools. This straightforward use of the protocol may be insufficient in some situations. Then, the protocol may have to be adapted for these situations. A study of protocol adaptation is presented. In particular a reasoner based on a combination of hierarchical classification and fuzzy logic is introduced.

摘要

本文介绍了用于肿瘤学决策协议管理的KASIMIR研究项目。决策协议是一种以基于对象的表示形式实现的决策树。基于这种形式主义和层次分类的推理器与知识编辑器相结合。这种结合为协议的编辑和维护提供了帮助,能够检测错误并比较协议的不同版本。通过这种方式,协议管理充分利用了底层的知识表示和推理工具。在某些情况下,这种对协议的直接使用可能并不充分。那么,就可能需要针对这些情况对协议进行调整。本文介绍了对协议调整的一项研究。特别是引入了一种基于层次分类和模糊逻辑相结合的推理器。

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