Letters: A reliable method for the diagnosis of gastric carcinoma

Authors:
Loris Nanni
Affiliations:
DEIS, IEIIT-CNR, Universití di Bologna, Viale Risorgimento 2, Bologna, Italy
Venue:
Neurocomputing
Year:
2006

Citing 6
Cited 0

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Diagnosis of gastric carcinoma by classification on feature projections

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Abstract

Predicting the different levels of gastric carcinoma from clinical and histopathological investigations is an important problem in bioinformatics and a challenging task for machine learning algorithms. In this paper, we have investigated an ensemble of classifiers and tested it on a real-world dataset. A genetic algorithm is applied to select the most relevant features. The obtained results are very encouraging, our results improve the average predictive accuracy obtained in previously published works.