Abstract
The methodology of synthesis of hybrid fuzzy decision rules was used to obtain mathematical models for classi-fying ischemic lesions of the lower limbs into four classes of severity based on a group of rheological indices (D-dimer, leukocytes, platelets, fibrinogen), volume blood flow velocity, and regional systolic blood pressure. Rational treatment regimens were determined for each of the classes. The introduction of the proposed models and treatment regimens into medical practice would make it possible to reduce the number of amputations by 65% and to improve the social adaptation and life quality of 80% of patients with critical lower limb ischemia.
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