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GECCO
2008
Springer
184views Optimization» more  GECCO 2008»
13 years 12 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. ...
GECCO
2009
Springer
109views Optimization» more  GECCO 2009»
14 years 3 months ago
A genetic algorithm for learning significant phrase patterns in radiology reports
Radiologists disagree with each other over the characteristics and features of what constitutes a normal mammogram and the terminology to use in the associated radiology report. R...
Robert M. Patton, Thomas E. Potok, Barbara G. Beck...
GECCO
2006
Springer
186views Optimization» more  GECCO 2006»
14 years 2 months ago
Characterizing large text corpora using a maximum variation sampling genetic algorithm
An enormous amount of information available via the Internet exists. Much of this data is in the form of text-based documents. These documents cover a variety of topics that are v...
Robert M. Patton, Thomas E. Potok
JCB
2000
103views more  JCB 2000»
13 years 10 months ago
Testing for Differentially-Expressed Genes by Maximum-Likelihood Analysis of Microarray Data
Although two-color uorescent DNA microarrays are now standard equipment in many molecular biology laboratories, methods for identifying differentially expressed genes in microarra...
Trey Ideker, Vesteinn Thorsson, Andrew F. Siegel, ...
AUSAI
2003
Springer
14 years 4 months ago
A Case Study in Feature Invention for Breast Cancer Diagnosis Using X-Ray Scatter Images
Abstract. X-ray mammography is the current clinical method for screening for breast cancer, and like any technique, has its limitations. Several groups have reported differences i...
Shane M. Butler, Geoffrey I. Webb, Rob A. Lewis