Pattern recognition method in medicine

Abstract

In this paper we consider models of learning diagnostics by precedents using pattern recognition methods and adjustment of layered neural nets. We show that in this case the problem reduces to the construction of committee constructions generalizing the notion of the solution to the system of linear inequalities. The methods proposed are justified. These methods are applied to the problems of medical diagnostics and for modelling empirical regularities.