Research on Application of Data Mining Methods to Diagnosing Gastric Cancer

2012
Arnis Kiršners, Sergejs Paršutins, Mārcis Leja

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.

Keywords
Gastric cancer; decision support system; data mining
DOI
10.1007/978-3-642-31488-9_3
Hyperlink
http://www.springerlink.com/content/x212621511763548/

Kiršners, A., Paršutins, S., Leja, M. Research on Application of Data Mining Methods to Diagnosing Gastric Cancer. In: Advances in Data Mining. Applications and Theoretical Aspects: Lecture Notes in Computer Science. Vol.7377. Berlin: Springer Berlin Heidelberg, 2012. pp.24-37. ISBN 978-3-642-31487-2. e-ISBN 978-3-642-31488-9. ISSN 0302-9743. Available from: doi:10.1007/978-3-642-31488-9_3

Publication language
English (en)