Functional hybrid intelligent decision support system for diagnostics of arterial hypertension

The paper introduces an approach to modeling decision support system for diagnostics of the arterial hypertension within the problem-structured methodology of functional artificial heterogeneous systems. The results of integrated method design are presented, including the following tasks: development of the heterogeneous model field for the complex problem of arterial hypertension diagnostics, region specification of subtasks autonomous model pertinence, and development of the algorithm for designing the integrated method and the model for solving the complex (heterogeneous) task. The models are designed in accordance with the recommendations of the Society of Cardiology of the Russian Federation for diagnostics and treatment of arterial hypertension. The architecture of the virtual physician's consultation diagnostics of arterial hypertension is the result of the algorithm synthesizing the method for solving the heterogeneous task. Such systems allow to synthesize dynamically a new method for elaborating diagnosis for each patient individually.