Interactive and fuzzy search: a dynamic way to explore MEDLINE

Bioinformatics
Jiannan WangJianhua Feng

Abstract

The MEDLINE database, consisting of over 19 million publication records, is the primary source of information for biomedicine and health questions. Although the database itself has been growing rapidly, the search paradigm of MEDLINE has remained largely unchanged. Here, we propose a new system for exploring the entire MEDLINE collection, represented by two unique features: (i) interactive: providing instant feedback to users' query letter by letter, and (ii) fuzzy: allowing approximate search. We develop novel index structures and search algorithms to make such a search model possible. We also develop incremental-update techniques to keep the data up to date. Interactive and fuzzy searching algorithms for exploring MEDLINE are implemented in a system called iPubMed, freely accessible over the web at http://ipubmed.ics.uci.edu/ and http://tastier.cs.tsinghua.edu.cn/ipubmed.

References

Aug 24, 2006·Bioinformatics·James LewisHarold R Garner

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Citations

Jan 20, 2011·Database : the Journal of Biological Databases and Curation·Zhiyong Lu
Jul 11, 2012·Advances in Bioinformatics·Andrea ManconiLuciano Milanesi
Aug 8, 2014·Bioinformatics·Nikolas PapanikolaouIoannis Iliopoulos
May 20, 2015·Scientific Reports·Sapan Mandloi, Saikat Chakrabarti
Nov 4, 2015·Computational and Mathematical Methods in Medicine·Zhiqiang ZengZhiling Hong
Aug 20, 2016·Database : the Journal of Biological Databases and Curation·Zeeshan AhmedThomas Dandekar
Jan 10, 2019·Database : the Journal of Biological Databases and Curation·José Garcia-PelaezVictor Trevino
Feb 6, 2017·JMIR Medical Informatics·Jonathan DemeloKamran Sedig

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