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» A survey of current work in biomedical text mining
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KCAP
2003
ACM
13 years 11 months ago
LitLinker: capturing connections across the biomedical literature
The explosive growth in the biomedical literature has made it difficult for researchers to keep up with advancements, even in their own narrow specializations. In addition, this c...
Wanda Pratt, Meliha Yetisgen-Yildiz
KDD
2008
ACM
232views Data Mining» more  KDD 2008»
14 years 6 months ago
Anticipating annotations and emerging trends in biomedical literature
The BioJournalMonitor is a decision support system for the analysis of trends and topics in the biomedical literature. Its main goal is to identify potential diagnostic and therap...
Bernd Wachmann, Dmitriy Fradkin, Fabian Mörch...
JCDL
2003
ACM
119views Education» more  JCDL 2003»
13 years 11 months ago
Genescene: Biomedical Text And Data Mining
To access the content of digital texts efficiently, it is necessary to provide more sophisticated access than keyword based searching. Genescene provides biomedical researchers wi...
Gondy Leroy, Hsinchun Chen, Jesse D. Martinez, Sha...
IWANN
2009
Springer
14 years 10 days ago
Biomedical Text Mining Applied to Document Retrieval and Semantic Indexing
In Biomedical research, the ability to retrieve the adequate information from the ever growing literature is an extremely important asset. This work provides an enhanced and genera...
Anália Lourenço, Sónia Carnei...
BMCBI
2005
155views more  BMCBI 2005»
13 years 5 months ago
Mining protein function from text using term-based support vector machines
Background: Text mining has spurred huge interest in the domain of biology. The goal of the BioCreAtIvE exercise was to evaluate the performance of current text mining systems. We...
Simon B. Rice, Goran Nenadic, Benjamin J. Stapley