文章基本信息

标题：Artificial Intelligence and Expert Systems in Medicine and Their Ability to Prediction as Therapy Planning Systems by CADIAG-2 Algorithm
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作者：Mohammad Madadpour Inallou ; Zeinab Ajurlou ; Bahman Mehri 等
期刊名称：International Journal of Mechatronics, Electrical and Computer Technology
印刷版ISSN：2305-0543
出版年度：2014
卷号：4
期号：10
页码：1228-1246
出版社：Austrian E-Journals of Universal Scientific Organization
摘要：Expert Systems in Medicine is a collection, storage, retrieval, communication and processing ofmedical data for the purposes of interpretation, inference, decision-support, research and so otherpurposes in medicine. Expert System is an interactive computer-based decision tool that uses bothfacts and heuristics to solve difficult decision problems based on knowledge acquired from anexpert. Expert systems provide expert advice and guidance in a wide variety of activities, fromcomputer diagnosis to delicate medical surgery and so more other. CADIAG-2 is a well known rulebasedmedical expert system aimed at providing support in medical diagnose in the field of internalmedicine. This paper employs CADIAG-2 fuzzy set theory and fuzzy logic to formalize medicalentities and relationships and uses a large collection of IF-THEN rules to represent uncertainrelationships between distinct medical entities. This paper is organized as follows: At first, theintroduction and fundamental of CADIAG-2, in second step notation and preliminary definitions isregarded, and in third part the Algorithm will be consider, and the final step is discussed aboutsatisfiablity and Unsatisfiable of CADIAG-2 sets.
关键词：CADIAG-2; Expert Systems; Fuzzy Logic; Clinical Decision Support Systems;(CDSS) and Therapy Planning Systems.