Case-Based Reasoning System for Diagnosis of Neuropsychiatric Abnormality
Shabeeha Khatoon, Kavita Agarwal · 2014
At the present time in medical field, neuropsychiatry abnormality diagnosis is limited and discussed partially in research papers, books and journals. It was very difficult to diagnose neuropsychiatric abnormality, by doctors, research groups and related agencies. There are many similar syndromes availability had caused difficulties to diagnose neuropsychiatric abnormality. Therefore, it was necessary to implement the algorithm, computerized method or software tool to diagnose the neuropsychiatric abnormality. In this paper for the diagnosis Case Based Reasoning (CBR) is used. CBR system includes four phases such as retrieve, reuse, revise, and retain. The first phase of the CBR (retrieve) makes cases from the previous knowledge. This method has been developed conceptually by using similarity factor. This method is used for basis of further programming development. By using this method, diagnosis of similar cases that occurred normally in neuropsychiatric abnormality is easily diagnose and will be given the appropriate solution.