Solving systems prognosticating disease course

Abstract A class of learning systems called solving systems (S-systems), which can be considered models of the thinking elements of a man in prognosticating his activity, is investigated. Ratios are deduced to estimate S-system efficiency with assigned laws for changing the fixed parameters. The results of using S-systems for prognosticating the operation course and the postoperative period of subjects of surgery are described with Fallot's tetrad as the basis of the scheme employed.