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Knowledge-based query construction using the CDSS knowledge base for efficient evidence retrieval
Citation
Afzal, M and Hussain, M and Ali, T and Hussain, J and Khan, WA and Lee, S and Kang, BH, Knowledge-based query construction using the CDSS knowledge base for efficient evidence retrieval, Sensors, 15, (9) pp. 21294-21314. ISSN 1424-8220 (2015) [Refereed Article]
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Copyright Statement
Copyright 2015 The Authors. Licensed under Creative Commons Attribution 4.0 International (CC BY 4.0) https://creativecommons.org/licenses/by/4.0/
Abstract
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.
Item Details
| Item Type: | Refereed Article |
|---|---|
| Keywords: | automated query construction, knowledge-based queries, CDSS, Arden Syntax, medical logic modules |
| Research Division: | Information and Computing Sciences |
| Research Group: | Data management and data science |
| Research Field: | Data engineering and data science |
| Objective Division: | Information and Communication Services |
| Objective Group: | Information services |
| Objective Field: | Information services not elsewhere classified |
| UTAS Author: | Kang, BH (Professor Byeong Kang) |
| ID Code: | 107238 |
| Year Published: | 2015 |
| Web of Science® Times Cited: | 8 |
| Deposited By: | Information and Communication Technology |
| Deposited On: | 2016-03-08 |
| Last Modified: | 2017-11-15 |
| Downloads: | 205 View Download Statistics |
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