In the clinical practice of medical diagnostics, special attention is paid to the problems of the formation of symptom complexes that classify diagnostic objects by world researchers as a result of an increase in the number of symptoms that cor-rectly identify diseases. As a rule, this research was limited to the transition from the entire proposed group of symptoms to a small group of symptoms, that is, the selection of a sig-nificant group of symptoms, the size of which was small, based on a rule of law or criterion. And this group of symptoms is called symptom complexes. According to recent studies by scientists from all over the world, the total sum of the totality of selected symptom complexes in relation to the number given as symptom complexes is understood as the result of an increase in the number of symptoms included in this group compared to the previously indicated quantitative indicators. Here, the research is carried out in two stages: initially, a set of all symptom complexes is determined in relation to the required number, then the total amount of the complexes is obtained. These suggested actions will be related to the development of strictly based mathematical methods and algorithms, theoretical research and algorithmic and software for solving practical problems. The article analyzes the diagnosis (classification) of medical logotypes based on informative symptomatic complexes (see Table 2) selected for ischemic heart dis-eases (5 classes, so class X 1 -, "Stenocardia tension", class X 2 -"Acute myocardial infarction", class X 3 -"Arrhythmic form", class X 4 -"Postinfarction cardiosclerosis", class X 5 -"Permanent form of atrial fibrillation") obtained as an object of study, based on the proposed algorithm.