6533b7d9fe1ef96bd126c0d9

RESEARCH PRODUCT

Research on Application of Data Mining Methods to Diagnosing Gastric Cancer

Arnis KirshnersSerge ParshutinMarcis Leja

subject

Decision support systembusiness.industryProcess (engineering)Computer scienceCancermedicine.diseasecomputer.software_genreData scienceHealth caremedicineData miningData pre-processingbusinesscomputer

description

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.

https://doi.org/10.1007/978-3-642-31488-9_3