A multi-stage classification method in application to diagnosis of larynx cancer

Abstract

In this paper, a multi-stage classification method is applied to a problem of larynx cancer diagnosis. The biochemical tumor markers, called CEA and SCC, as well as ferritin, and other factors, are used in order to produce the diagnosis. A neuro-fuzzy network is employed at every stage of the classification method. The networks reflect fuzzy IF-THEN rules, formulated based on the data containing measurements of the particular factors (attributes). The classification method is proposed to support a medical doctor decision, and provide additional useful information concerning the diagnosis.