Articles filtered by author Musevi U.N..
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MD&IT №1 2021
Diagnosing diseases with inaccurate signs and symptoms is the basis for designing a fuzzy logic medical system. Fuzzy inference is a method of processing information based on expert rules set in a fuzzy form. The article discusses the possibility of applying a fuzzy expert system for diagnosing gastrointestinal parasitic diseases. The authors consider a fuzzy logic system for diagnosing enterobiasis , one of the most common paediatric gastrointestinal parasitic diseases. For this purpose, the au...
MD&IT №3 2020
The possibilities of using the processing and analysis method in medical research using an artificial neural network to improve the accuracy of diagnosing diseases of the gastrointestinal tract due to the influence of various parasites are considered. Symptoms and diseases associated with the influence of the main parasites in the gastrointestinal tract are highlighted. Based on this information, the implementation on the NeuroPro network emulator is carried out. The results of disease progressi...