Design And Development Of Remote Clinical Diagnosis Expert System

With development and popularization of computer and network,digital technology is changing the social environment of human being,and this has led to more digitalization in the life and work environments.Digital Technology Application in Medicine has also made a lot of progress,and on behalf of this development is the Remote Clinical Diagnosis Expert System.Emerged in the mid-1960s,Expert System is an important branch of artificial intelligence,which contains abundant knowledge and experience of experts level in every specific field,and is capable of dealing with problems in some area with the knowledge and problem-solving methods of human experts.Remote Clinical Diagnosis Expert System has the human doctor expertise in analysis,reasoning and diagnosis of certain diseases,and is capable to give the final corresponding solution.Remote diagnosis expert system is designed to improve the diagnosis accuracy and successful rescue rate in clinical treatment,in addition, the development of remote interface provides effective ports for remote users' self-diagnosis.The establishment of Expert System has extensive and realistic significance in medical treatment assistance and remote users' attendance.Starting from the classic examples MYCIN expert system,the article introduces the composition,characteristics,and development tools of the system,which lays the theoretical foundation for further research; immediately followed the analysis of the present development of the system in different areas from the realistic perspective.Combining the current traditional hospital treatment mode and characteristics of expert system, the author constructs the framework of the system,overcomes system difficulties,and provides the realistic basis for the establishment.The system includes three main components:knowledge base,inference engine and user interface.This paper focuses on the knowledge base structure and reasoning machine design.Knowledge Base of the system is constructed mainly of the clinical diagnosis of knowledge obtained by the design engineers:firstly,experience knowledge-through communication with clinical experts,to obtain experimental experience,thoughts of dealing with cases and methods of analyzing and solving specific problems. Secondly,book knowledge-by consulting literature and as well as Internet browsing,we can find related works and research results of experts in some fields.Then by employing production representation to represent knowledge,we can build a knowledge base for eight diseases. Inference Engine design is the difficult part of the system,the article has accomplished the reasoning strategy based on the analysis of the reverse,forward,and two-way reasoning methods,in which a detailed formula written expression and inference algorithm of the three methods have been carried out,and the Reasoning core code has been given.User interface uses expert system shell E2gLit,through which Web-based user's port is designed,and the complete html code is written. In addition,in-depth research in uncertainty reasoning has been carried out,and sheds a bright light on the path to improve and optimize the system.