Disease Diagnosis System

In this paper, aspects of the design of an intelligent medical system for diagnosis of Common disease that can be detected by patient data. A number of patient cases are selected as prototype and stored in a separate database. The knowledge is acquired from literature review and human experts of the specific domain and is used as a base for analysis, diagnosis and recommendations. Knowledge is represented via an integrated formalism that combines production rules and a neural network. This results in better representation, and facilitates knowledge acquisition and maintenance. Diagnosis is performed via the ES, based on patient data. The proposed system is experimented on various scenarios in order to evaluate its performance. In all the cases, proposed system exhibits satisfactory results