Article (Scientific journals)
MedlineRanker: flexible ranking of biomedical literature.
Fontaine, Jean-Fred; Barbosa Da Silva, Adriano; Schaefer, Martin et al.
2009In Nucleic Acids Research, 37 (Web Server issue), p. 141-6
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Keywords :
Information Storage and Retrieval/methods; MEDLINE; Software; User-Computer Interface
Abstract :
[en] The biomedical literature is represented by millions of abstracts available in the Medline database. These abstracts can be queried with the PubMed interface, which provides a keyword-based Boolean search engine. This approach shows limitations in the retrieval of abstracts related to very specific topics, as it is difficult for a non-expert user to find all of the most relevant keywords related to a biomedical topic. Additionally, when searching for more general topics, the same approach may return hundreds of unranked references. To address these issues, text mining tools have been developed to help scientists focus on relevant abstracts. We have implemented the MedlineRanker webserver, which allows a flexible ranking of Medline for a topic of interest without expert knowledge. Given some abstracts related to a topic, the program deduces automatically the most discriminative words in comparison to a random selection. These words are used to score other abstracts, including those from not yet annotated recent publications, which can be then ranked by relevance. We show that our tool can be highly accurate and that it is able to process millions of abstracts in a practical amount of time. MedlineRanker is free for use and is available at http://cbdm.mdc-berlin.de/tools/medlineranker.
Disciplines :
Biotechnology
Author, co-author :
Fontaine, Jean-Fred
Barbosa Da Silva, Adriano ;  University of Luxembourg > Luxembourg Centre for Systems Biomedicine (LCSB)
Schaefer, Martin
Huska, Matthew R.
Muro, Enrique M.
Andrade-Navarro, Miguel A.
External co-authors :
yes
Language :
English
Title :
MedlineRanker: flexible ranking of biomedical literature.
Publication date :
2009
Journal title :
Nucleic Acids Research
ISSN :
1362-4962
Publisher :
Oxford University Press, United Kingdom
Volume :
37
Issue :
Web Server issue
Pages :
W141-6
Peer reviewed :
Peer Reviewed verified by ORBi
Focus Area :
Systems Biomedicine
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since 13 April 2016

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