The Algorithm for Selection of Symptom Complex of Ischemic Heart Diseases Based on Flexible Search

Abstract

In the case of preliminary data processing, particularly, in identifying symbols, the determination and categorization of informative symbols or sets of symbols that classify objects is an important issue. Although, there have been a number of methods and algorithms proposed to solve these problems, many more ones are to be solved in this direction. This is due to the fact that most of the proposed approaches are strongly dependent on the nature of the subject of the study, the number of symbols, the type of values that can take symbols, the size of the training sample, and so forth. In addition, there are certain requirements for the above. Besides these, each method or algorithm depends to a large extent on the correctness of the information selection criterion and choosing the appropriate decisive rule that determines the quality of the selected choice. In this regard, the efficiency and reliability of many methods and algorithms are not stable