Research on application of data mining methods to diagnosing gastric cancer

Authors:
Arnis Kirshners;Serge Parshutin;Marcis Leja
Affiliations:
Institute of Information Technology, Riga Technical University, Riga, Latvia;Institute of Information Technology, Riga Technical University, Riga, Latvia;Faculty of Medicine, University of Latvia, Latvia,Digestive Diseases Centre GASTRO, Riga Eastern Clinical University Hospital, Riga, Latvia
Venue:
ICDM'12 Proceedings of the 12th Industrial conference on Advances in Data Mining: applications and theoretical aspects
Year:
2012

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Abstract

Constantly evolving technologies bring new possibilities for supporting decision making in different areas - finance, marketing, production, social area, healthcare and others. Decision support systems are widely used in medicine in developed countries and show positive results. This research reveals several possibilities of application of data mining methods to diagnosing gastric cancer, which is the fourth leading cancer type in incidence after the breast, lung and colorectal cancers. A simple decision support system model was introduced and tested using gastric cancer inquiry form statistical data. The obtained results reveal both the benefits and potential of application of DSS aimed to support a medical expert decision, and some shortcomings mainly connected with performing an appropriate data preprocessing before mining knowledge and building the model. The paper presents the technologies behind the DSS and shows the detailed evaluation process with discussions.