Applying Case-Based Reasoning for Mobile Support in Diagnosing Infective Diseases

Over the years, health institutions have collected significant amount of medical data. By applying adequate methods, collected medical data can be observed as a knowledge base and used to support decision making. Developments of medical knowledge-based systems, which apply Case-based Reasoning (CBR) techniques to provide decision support, have become very interesting research area. Making a diagnosis is one of the most important areas in which contemporary medical systems should give support to physicians. Decision support in making diagnoses can be achieved by filtering knowledge and experience, or in other words, by using previous problem solutions which are the most similar to the current problem. Thus, this paper describes research results of applying CBR techniques for supporting infective disease diagnoses.