Kulishov S. K.

METHODS AND METHODOLOGIES

Scentific article

The quality of cardiovascular pathology diagnosis and treatment is derived from the determination of individual etiological and pathogenetic features. The purpose of this study was to streamline the existing and developed by us graphical models, algorithms for clinical thinking, diagnosis and treatment. Methods. Graphic modeling for diagnosis of pathological processes and treatment correction is reduced to: analytical stage (analyse of subjective, objective and additional data); synthetic stage (search of system and antisystem complexes from the symptoms); subtitling, incomplete formulations, in particular syndromes, including oxymorones; presentation of a diagnostic solution in the form of a diagnosis based on the search of fractal syndromes mechanisms, systemic focusing. Using for this purpose the “Dragon” language allows to achieve a sufficient level of accuracy. Logical operations of algebra in it are implemented using graphs. The basis of such a creative clinical thinking is the comparison of database contradictions. Results. The use of graphical modeling allowed us to diagnose the age-dependent characteristics of the course of diseases, to control triggers and potentiators of diseases. Diagnosis of the combined pathology of the cardiovascular system, in particular necrotic lesions of the myocardium in patients with altered Q waves in the electrocardiogram is an actual problem. It is necessary to differentiate as acquired pathology as a result of inflammatory, dysmetabolic processes, and stress-dependent, hereditary with different inclusion of genetic, epigenetic, metagenetic factors. Conclusion. Thus, graphic modeling of cardiovascular pathology mechanisms allows to improve the possibilities of individual diagnostics, the quality of differentiation of similar syndromes, diseases, multimorbidity. Graphic modeling can help to individualize treatment.

graphic modeling, diagnosis, treatment.

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«Bulletin of problems biology and medicine» Issue 2 Part 2 (151), 2019 year, 193-196 pages, index UDK 616.1:004.992:616_07/-08

10.29254/2077-4214-2019-2-2-151-193-196