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» Exploiting Background Knowledge for Relation Extraction
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BMCBI
2008
100views more  BMCBI 2008»
13 years 11 months ago
Extracting unrecognized gene relationships from the biomedical literature via matrix factorizations
Background: The construction of literature-based networks of gene-gene interactions is one of the most important applications of text mining in bioinformatics. Extracting potentia...
Hyunsoo Kim, Haesun Park, Barry L. Drake
BMCBI
2005
134views more  BMCBI 2005»
13 years 11 months ago
Inherited disorder phenotypes: controlled annotation and statistical analysis for knowledge mining from gene lists
Background: Analysis of inherited diseases and their associated phenotypes is of great importance to gain knowledge of underlying genetic interactions and could ultimately give cl...
Marco Masseroli, Osvaldo Galati, Mauro Manzotti, K...
BMCBI
2008
185views more  BMCBI 2008»
13 years 11 months ago
Mining clinical relationships from patient narratives
Background: The Clinical E-Science Framework (CLEF) project has built a system to extract clinically significant information from the textual component of medical records in order...
Angus Roberts, Robert J. Gaizauskas, Mark Hepple, ...
PAAPP
2007
109views more  PAAPP 2007»
13 years 10 months ago
Relation rule mining
\Web users are nowadays confronted with the huge variety of available information sources whose content is not targeted at any specific group or layer. Recommendation systems aim...
Mehdi Adda, Rokia Missaoui, Petko Valtchev
CVBIA
2005
Springer
14 years 4 months ago
Analyzing Anatomical Structures: Leveraging Multiple Sources of Knowledge
Analysis of medical images, especially the extraction of anatomical structures, is a critical component of many medical applications: surgical planning and navigation, and populati...
W. Eric L. Grimson, Polina Golland