Fuzzy Logic for Medical Diagnosis of Clinical and Hematological Symptoms

Practical medicine still remains a difficultly formalized area of human activity, in which specialists in decision making often proceed from previous professional experience and their own intuition, and not from an analysis of objective data. In such situation, it is difficult to avoid medical mistakes, the social and economic importance of which is extremely high. The urgency of the problem is in the need to develop intelligent medical systems based on effective methods, algorithms and models of support for making medical decisions in the context of incompleteness and uncertainty of the initial data of the medical-technological process, allowing to ensure high adequacy and validity of the decisions made in the context of limited time resources. The main goal of the this research is to use a model of a fuzzy inference for a medical diagnostic system in order to provide effective information support for the diagnosis process, as well as the process of recommendatory medical care.