Rule management in clinical decision support expert system for the Alzheimer disease

Abstract

The explosion of medical knowledge and the uncertainty of some patient information in several diseases cause many clinical errors in medical decision support systems. Therefore, we aim to reduce these deficiencies using new decision support approach and new improvements. In this paper, we present a new way to manage rules in expert systems. First, we propose a knowledge specialization process that uses three types of rule bases. Then we explain how we can manage rules across these three types of rule bases. Finally, we present an implementation of a rule management system for the Alzheimer disease. We think that this improvement can enhance clinical decision support expert system performances to better support medical decision support.