{"title":"Development of an Expert System Based on Fuzzy Logic for Pneumonia Diagnostics","authors":"A. I. Enikeeva, R. A. Burnashev, R. R. Farahov","doi":"10.3103/S000510552570027X","DOIUrl":null,"url":null,"abstract":"<p>The paper is devoted to the development of an expert system for the diagnosis of pneumonia based on fuzzy logic implemented using the Mamdani algorithm. It discusses the main stages of system development, including the fuzzification of input data, definition of fuzzy rules based on medical expert knowledge, the aggregation of fuzzy inferences, and their defuzzification to obtain the final diagnostic result. The system’s web interface is implemented using the Django framework, which ensures the ease of interaction for users. The use of a medical expert system for diagnosing pneumonia can reduce the time required to establish a diagnosis and improve its quality of integrating the experience of medical experts and modern information technologies.</p>","PeriodicalId":42995,"journal":{"name":"AUTOMATIC DOCUMENTATION AND MATHEMATICAL LINGUISTICS","volume":"58 4 supplement","pages":"S202 - S215"},"PeriodicalIF":0.5000,"publicationDate":"2025-03-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"AUTOMATIC DOCUMENTATION AND MATHEMATICAL LINGUISTICS","FirstCategoryId":"1085","ListUrlMain":"https://link.springer.com/article/10.3103/S000510552570027X","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"COMPUTER SCIENCE, INFORMATION SYSTEMS","Score":null,"Total":0}
引用次数: 0
Abstract
The paper is devoted to the development of an expert system for the diagnosis of pneumonia based on fuzzy logic implemented using the Mamdani algorithm. It discusses the main stages of system development, including the fuzzification of input data, definition of fuzzy rules based on medical expert knowledge, the aggregation of fuzzy inferences, and their defuzzification to obtain the final diagnostic result. The system’s web interface is implemented using the Django framework, which ensures the ease of interaction for users. The use of a medical expert system for diagnosing pneumonia can reduce the time required to establish a diagnosis and improve its quality of integrating the experience of medical experts and modern information technologies.
期刊介绍：
Automatic Documentation and Mathematical Linguistics is an international peer reviewed journal that covers all aspects of automation of information processes and systems, as well as algorithms and methods for automatic language analysis. Emphasis is on the practical applications of new technologies and techniques for information analysis and processing.
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