Nonlinear Recognition Methods for Oncological Pathologies

Abstract

A biomarker, or biological marker is a substance used as an indicator of a biological state. It is used in many scientific fields. The determination and function of the biomarker can be formalized more precisely by using Nonlinear Recognition Methods for accurate identification of oncological pathologies and both the pathogenic processes and pharmacologic response to a therapeutic intervention by applying dynamical systems and chaotic algorithms to determine the biological state and its dynamics. To this end a classification problem is solved based on optimal nonlinear algorithm, and it will be shown that certainty equivalent predictions are derived. Application results will be given on available test data sets of gastroscopic and colonoscopic images. The increase in the recognition accuracy is attributable to the algorithm and a strict statistical methodology without extraneous assumptions