Boolean versus ranked querying for biomedical systematic reviews
Open Access
- 12 October 2010
- journal article
- research article
- Published by Springer Nature in BMC Medical Informatics and Decision Making
- Vol. 10 (1) , 58
Abstract
The process of constructing a systematic review, a document that compiles the published evidence pertaining to a specified medical topic, is intensely time-consuming, often taking a team of researchers over a year, with the identification of relevant published research comprising a substantial portion of the effort. The standard paradigm for this information-seeking task is to use Boolean search; however, this leaves the user(s) the requirement of examining every returned result. Further, our experience is that effective Boolean queries for this specific task are extremely difficult to formulate and typically require multiple iterations of refinement before being finalized.Keywords
This publication has 22 references indexed in Scilit:
- Analysis of the reporting of search strategies in Cochrane systematic reviewsJournal of the Medical Library Association, 2009
- Rank-biased precision for measurement of retrieval effectivenessACM Transactions on Information Systems, 2008
- Evaluation of query expansion using MeSH in PubMedInformation Retrieval Journal, 2008
- Errors in search strategies were identified by type and frequencyJournal of Clinical Epidemiology, 2006
- Reducing Workload in Systematic Review Preparation Using Automated Citation ClassificationJournal of the American Medical Informatics Association, 2006
- Optimal search strategies for retrieving scientifically strong studies of treatment from Medline: analytical surveyBMJ, 2005
- Real life, real users, and real needs: a study and analysis of user queries on the webInformation Processing & Management, 2000
- Managing Gigabytes: Compressing and Indexing Documents and ImagesIEEE Transactions on Information Theory, 1995
- Systematic Reviews: Identifying relevant studies for systematic reviewsBMJ, 1994
- Extended Boolean information retrievalCommunications of the ACM, 1983