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ICDM
2008
IEEE
113views Data Mining» more  ICDM 2008»
13 years 11 months ago
Text Mining in Radiology Reports
Medical text mining has gained increasing interest in recent years. Radiology reports contain rich information describing radiologist’s observations on the patient’s medical c...
Tianxia Gong, Chew Lim Tan, Tze-Yun Leong, Cheng K...
ACL
2008
13 years 6 months ago
Hedge Classification in Biomedical Texts with a Weakly Supervised Selection of Keywords
Since facts or statements in a hedge or negated context typically appear as false positives, the proper handling of these language phenomena is of great importance in biomedical t...
György Szarvas
HICSS
2009
IEEE
103views Biometrics» more  HICSS 2009»
13 years 11 months ago
A Thin Client Interface to a High Performance Multi-modal Image Analytics System
We describe a platform for performing text and radiology analytics (TARA). We integrate commercially available hardware and middleware components to construct an environment which...
James W. Cooper, Shahram Ebadollahi, Ellen Eide
GECCO
2008
Springer
184views Optimization» more  GECCO 2008»
13 years 6 months ago
Analysis of mammography reports using maximum variation sampling
A genetic algorithm (GA) was developed to implement a maximum variation sampling technique to derive a subset of data from a large dataset of unstructured mammography reports. It ...
Robert M. Patton, Barbara G. Beckerman, Thomas E. ...
MSR
2010
ACM
13 years 6 months ago
Identifying security bug reports via text mining: An industrial case study
-- A bug-tracking system such as Bugzilla contains bug reports (BRs) collected from various sources such as development teams, testing teams, and end users. When bug reporters subm...
Michael Gegick, Pete Rotella, Tao Xie