Diagnostic and instructional System for network solution using cloud computing

Abstract

The clinical diagnosis is important for the medical in order to treat the patients correctly and effectively. However, it is well known that the medical knowledge is too complex and have plenty of content, including the need for highly skilled, experienced and specialized in order to understand and diagnosing the patients. Sometimes the critical thinking and problem solving by humans that may be a mistake due to fatigue or the problem is very complicated. Therefore, in order to solve the problems, the authors bring a computer technology to help in the diagnosis. So, we develop an expert system for medical diagnosis. From the studied include two main components of knowledge base and inference engine. The knowledge base will collect the information about medical and the other. And study of the hierarchical data structure in order to describe such information. As for how to find a method of inference rules, it will create the rule of knowledge collected. Finally, we study the cloud computing technology that is powerful and more flexible. In this project, the cloud computing technology is being used for storing the data, due to the online storage make application development and data access more flexible.