Study of the complex problem of arterial hypertension diagnostics in the methodology of artificial heterogeneous systems

An approach to modeling the decision-support systems within the methodology of artificial heterogeneous systems is introduced on an example of a complex problem of the arterial hypertension diagnostics. Investigations were conducted on two models: “heterogeneous” and “homogeneous,” and are relevant to the new scientific worldview in biomedicine, based on principles of variety, complementarity, cooperation, and relativity. The aim of the research is to develop the consulting hybrid intelligent system for the arterial hypertension diagnostics. The results of system analysis of the complex problem of arterial hypertension diagnostics within the methodology of artificial heterogeneous systems are presented, namely, identification and reduction of the complex problem, subtasks specification, methods selection for solving of homogeneous subtasks, and proof of the problem heterogeneity.