Artificial Intelligence and Expert Systems in Medicine and Their Ability to Prediction as Therapy Planning Systems by CADIAG-2 Algorithm

Expert Systems in Medicine is a collection, storage, retrieval, communication and processing of medical data for the purposes of interpretation, inference, decision-support, research and so other purposes 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 an expert. Expert systems provide expert advice and guidance in a wide variety of activities, from computer 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 internal medicine. This paper employs CADIAG-2 fuzzy set theory and fuzzy logic to formalize medical entities 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 about satisfiablity and Unsatisfiable of CADIAG-2 sets.

کلیدواژه ها:

CADIAG-2 ، Expert Systems ، Fuzzy Logic ، Clinical Decision Support Systems (CDSS) and Therapy Planning Systems