{"title":"Intelligent Data Analysis As an Evidence-Based Medicine Tool","authors":"M. I. Zabezhailo","doi":"10.3103/S0005105524700031","DOIUrl":null,"url":null,"abstract":"<p>Some possible mathematical models and methods of intelligent data analysis (IDA) for the field of evidence-based medicine (EBM) are discussed. Two critically significant limitations for the application of traditional (statistics-based) EBM approach are considered: work with open subject areas and with small (statistically nonsignificant) collections of analyzed data. A special class of IDA methods based on the computer-oriented formalization of causal similarity heuristics using logical and algebraic means is presented. Options for clarifying the concept of evidence-based are proposed, which allow the indicated limitations of the traditional EBM approach to be circumvented. Some practically significant characteristics of this variant of the use of artificial intelligence methods in the tasks of evidence-based medicine are discussed.</p>","PeriodicalId":42995,"journal":{"name":"AUTOMATIC DOCUMENTATION AND MATHEMATICAL LINGUISTICS","volume":"58 2","pages":"129 - 134"},"PeriodicalIF":0.5000,"publicationDate":"2024-06-05","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/S0005105524700031","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
Some possible mathematical models and methods of intelligent data analysis (IDA) for the field of evidence-based medicine (EBM) are discussed. Two critically significant limitations for the application of traditional (statistics-based) EBM approach are considered: work with open subject areas and with small (statistically nonsignificant) collections of analyzed data. A special class of IDA methods based on the computer-oriented formalization of causal similarity heuristics using logical and algebraic means is presented. Options for clarifying the concept of evidence-based are proposed, which allow the indicated limitations of the traditional EBM approach to be circumvented. Some practically significant characteristics of this variant of the use of artificial intelligence methods in the tasks of evidence-based medicine are discussed.
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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