Personalized approach with combined application of physiotherapeutic factors in patients with metabolic syndrome

Abstract

The article analyzes the existing approaches to the implementation of personalized application of corrective actions. In relation to the factors of combined physiotherapy, the information value of the search and selection of predictor biomarkers from among the parameters reflecting the initial hormonal, metabolic, and hemodynamic characteristics of patients is considered. It has been found that a cluster of variables, including body mass index, catalase activity, vegetative balance index, and tissue microcirculation index, has a predictive information value in relation to the combined use of transcranial magnetic therapy and a pulsed low-frequency electrostatic field. The performed verification of the obtained information model of multiple regression convincingly proves its adequacy and objectively confirms compliance with the specified requirements.