A knowledge-based approach for retrieving scenario-specific medical text documents

被引：10

作者：

Chu, WW ^{[1
]}

Liu, ZY ^{[1
]}

Mao, WL ^{[1
]}

Zou, QH ^{[1
]}

机构：

[1] Univ Calif Los Angeles, Dept Comp Sci, Los Angeles, CA 90095 USA

来源：

CONTROL ENGINEERING PRACTICE | 2005年 / 13卷 / 09期

基金：

美国国家科学基金会;

关键词：

knowledge-based information retrieval; indexing; vector space model; query expansion;

D O I：

10.1016/j.conengprac.2004.12.011

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

Medical free-text queries often share the same scenario. A scenario represents a repeating task in healthcare. For example, a specific scenario is searching for treatment methods for a specific disease, where "treatment" is a term indicating the scenario. To support scenario-specific retrieval, in this paper we present a new knowledge-based approach to address these problems. In addition, we describe a testbed system developed using the approach. Our specific implementation uses the UMLS Metathesaurus and semantic structure to extract key concepts from a free text. The approach uses phrase-based indexing to represent similar concepts, and query expansion to improve matching query terms with the terms in the document. The system formulates the query based on the user's input and the selected scenario template such as "disease, treatment" or "disease, diagnosis." Thus, it is able to retrieve documents relevant to the specific scenario. Evaluating the system using the standard OSHMED corpus, our empirical results validate the effectiveness of this new approach over the traditional text retrieval techniques. (c) 2005 Elsevier Ltd. All rights reserved.

引用

页码：1105 / 1121

页数：17

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