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Learning Cue Phrase Patterns from Radiology Reports Using a Genetic Algorithm...

by Robert M Patton, Barbara G Beckerman, Thomas E Potok
Publication Type
Conference Paper
Publication Date
Page Numbers
4 to 7
Conference Name
1st Annual ORNL Biomedical Science and Engineering Conference
Conference Location
Oak Ridge, Tennessee, United States of America
Conference Date

Various computer-assisted technologies have been developed to assist radiologists in detecting cancer; however, the algorithms still lack high degrees of sensitivity and specificity, and must undergo machine learning against a training set with known pathologies in order to further refine the algorithms with higher validity of truth. This work describes an approach to learning cue phrase patterns in radiology reports that utilizes a genetic algorithm (GA) as the learning method. The approach described here successfully learned cue phrase patterns for two distinct classes of radiology reports. These patterns can then be used as a basis for automatically categorizing, clustering, or retrieving relevant data for the user.