Knowledge-Based Query Construction Using the CDSS Knowledge Base for Efficient Evidence Retrieval

被引:12
作者
Afzal, Muhammad [1 ]
Hussain, Maqbool [1 ]
Ali, Taqdir [1 ]
Hussain, Jamil [1 ]
Khan, Wajahat Ali [1 ]
Lee, Sungyoung [1 ]
Kang, Byeong Ho [2 ]
机构
[1] Kyung Hee Univ, Dept Comp Engn, Yongin 446701, Gyeonggi Do, South Korea
[2] Univ Tasmania, Dept Comp & Informat Syst, Hobart, Tas 7001, Australia
关键词
automated query construction; knowledge-based queries; CDSS; Arden Syntax; medical logic modules; DECISION-SUPPORT; HEALTH; STANDARD;
D O I
10.3390/s150921294
中图分类号
O65 [分析化学];
学科分类号
070302 ; 081704 ;
摘要
Finding appropriate evidence to support clinical practices is always challenging, and the construction of a query to retrieve such evidence is a fundamental step. Typically, evidence is found using manual or semi-automatic methods, which are time-consuming and sometimes make it difficult to construct knowledge-based complex queries. To overcome the difficulty in constructing knowledge-based complex queries, we utilized the knowledge base (KB) of the clinical decision support system (CDSS), which has the potential to provide sufficient contextual information. To automatically construct knowledge-based complex queries, we designed methods to parse rule structure in KB of CDSS in order to determine an executable path and extract the terms by parsing the control structures and logic connectives used in the logic. The automatically constructed knowledge-based complex queries were executed on the PubMed search service to evaluate the results on the reduction of retrieved citations with high relevance. The average number of citations was reduced from 56,249 citations to 330 citations with the knowledge-based query construction approach, and relevance increased from 1 term to 6 terms on average. The ability to automatically retrieve relevant evidence maximizes efficiency for clinicians in terms of time, based on feedback collected from clinicians. This approach is generally useful in evidence-based medicine, especially in ambient assisted living environments where automation is highly important.
引用
收藏
页码:21294 / 21314
页数:21
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