The Application And Research Of Fuzzy Reasoning On Disease Diagnosis System

With the development of artificial intelligence and medical diagnosis technology, the electronic medical records (Electronic Medical Record, EMR) system with intelligent diagnostic function has become one of the important issues of science for medical information. EMR as an important source of medical information, which provide paperless medical services beyond the time and space, will meet the needs of modern medical management.In this paper, the case of EMR are first studied to simulate the field of experts to solve real problems of EMR, then a EMR diagnosis mode based on fuzzy case is built. With the comparative analysis of case based EMR retrieval methods, a three-hybrid retrieval model based on nearest neighbor, inductive method and template retrieval is presented. A case of the similarity model is built, which analysis the numerical and text-based case retrieval methods.Three types of fuzzy measure based on intuitionistic fuzzy sets are studied, the reasoning of correlation measure, distance measure and similarity measure and its applications analysis.The thesis discusses the pathogenesis and diagnostic methods of common rheumatism based on the reality of clinical medicine, combined with the knowledge of fuzzy theory, fuzzy expert system and diagnosis technology, a fuzzy rheumatism diagnosis model is built. Representation of knowledge, the determination of membership function and the build of fuzzy rules are detailed descript. After the build of a fuzzy comprehensive evaluation model, using the maximum membership degree principle to obtain the final diagnosis result.Finally, a rheumatism EMR diagnosis system is designed in the study of fuzzy expert system. Combined with the characteristics of rheumatism EMR template, detailing the overall structure and design ideas of the system, including the fuzzy knowledge base, fuzzy databases and the design of fuzzy inference engine, then gives a demo major functional module. After analysis of experimental results, the system can meets the practical requirements and the effect of doctor-assisted.