Application Of Case Based Reasoning For Chronic Disease Diagnosis And Treatment

Abstract

The threats to people’s health from chronic diseases increase gradually. How to decrease these threats is an important issue in medical treatment. Thus, this study is conducted with the aim to explore the potential of case-based reasoning (CBR) approach for chronic diseases diagnosis. The main goal of this research is to develop a prototype case-based reasoning system that can give decision support for chronic diseases diagnosticians at a different level of expertise. To achieve the goal of this research literatures have been thoroughly reviewed from both case-based reasoning and chronic diseases diagnosis. For the implementation of the prototype, successfully solved cases are acquired from Adama Referral and Medical Hospital. In addition, the main parameters are identified in consultation with chronic diseases experts. Then, the prototype is implemented using jCOLIBRI case-based reasoning framework. Finally, domain experts tested the system and the average relevance of retrieved cases and the average fitness of the final solution to the new case is 88% and 92% respectively. The average adequacy and clarity of the system and average interactivity of the user interface is 84% and 80% respectively. The overall performance rating by domain experts is 85.56% and the accuracy of the retrieved process is 87.8% using randomly selected test cases. Given all these results, the performance of the prototype is promising. In general, the system has basically achieved the goal since the main objective of the system was to find the potential useful similar cases efficiently for the users