Building CBR based diagnosis system using jCOLIBRI

Non-communicable diseases have become a major health concern in India. Chronic Kidney Disease (CKD) a non-communicable disease is one of the major causes of death. Identifying CKD at early stage is better to slow down the growth of disease that also decreases the chances of other complication. The aim of this work is to develop CBR application for diagnosis of chronic kidney disease and uses similarity-based retrieval of case results. CBR is a field of artificial intelligence where one solves the problem based upon the past cases. A CKD diagnostic prototype was developed using jCOLIBIRI framework. As part of prototyping, we studied functionality and usage of the jCOLIBIRI framework.