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The challenge of high recall in biomedical systematic search

conference contribution
posted on 2024-10-30, 14:52 authored by Sarvnaz Karimi, Justin Zobel, Stefan Pohl, Falk ScholerFalk Scholer
Clinical systematic reviews are based on expert, laborious search of well-annotated literature. Boolean search on bibliographic databases, such as MEDLINE, continues to be the preferred discovery method, but the size of these databases, now approaching 20 million records, makes it impossible to fully trust these searching methods. We are investigating the trade-offs between Boolean and ranked retrieval. Our findings show that although Boolean search has limitations, it is not obvious that ranking is superior, and illustrate that a single query cannot be used to resolve an information need. Our experiments show that a combination of less complicated Boolean queries and ranked retrieval outperforms either of them individually, leading to possible time savings over the current process

History

Start page

1

End page

4

Total pages

4

Outlet

Proceeding of the third international workshop on Data and text mining in bioinformatics

Editors

Doheon Lee, Russ Altman

Name of conference

ACM 3rd International Workshop on Data and Text Mining in Bioinformatics

Publisher

ACM

Place published

New York, USA

Start date

2009-11-06

End date

2009-11-06

Language

English

Copyright

© 2009 ACM

Former Identifier

2006017873

Esploro creation date

2020-06-22

Fedora creation date

2011-11-25

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