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DNA microarray data is a challenging issue for machine learning researchers due to the high number of gene expression contained and the small samples sizes. To deal with this problem, feature selection methods, such as filters and wrappers, are typically applied to reduce the dimensionality. In this work, we apply a filter method before the classification and include a discretization step. The results...
There are two classical approaches for dealing with multiple class data sets: a classifier that can deal directly with them, or alternatively, dividing the problem into multiple binary sub-problems. While studies on feature selection using the first approach are relatively frequent in scientific literature, very few studies employ the latter one. Out of the four classical methods that can be employed...
Endoscopy with biopsy sampling is the gold standard used in gastric cancer diagnosis. However, the positive predictive value of signs and symptoms for the diagnosis of carcinomas is quite limited, and, therefore, many patients are subjected to non-diagnostic endoscopies, especially when symptoms are not so specific. This study shows that ultrasonography is sensitive enough for the diagnosis of gastric...
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