Abstract
Case-Based Reasoning (CBR) is an Artificial Intelligence (AI) methodology like rule-based reasoning, neural networks and genetic algorithms. CBR techniques used to dynamically knowledge to discover from previous experiences and advance filtering of variables was the best predictor in comparison to other machine learning methods. This paper presents a Neurology Diagnosis System (NDS) to CBR approach. This system assists to health assistants in the absence of the expert doctors. The work features a compositional adaptation approach, whereby relevant health information elements from the solution component of multiple similar past cases are carefully selected and systematically combined to yield a new personalized health information package. The implementation is a web application developed in the Java programming language using the Spring MVC framework and My-SQL as the database system.
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