Expert system for medicine diagnosis using software agents

In order to simplify the information exchange within the medical diagnosis process, a collaborative software agents framework is presented. The human body systems (e.g. respiratory, cardiovascular) are embedded into distinct software agents. The holistic perspective is given by the all connected agents exchanging information. The purpose of the framework is to allow the automated information exchange between different medicine specialists. The key factor of the exchange is sharing concepts between the areas of expertise. Each human body system expert will act over his concepts (evidences, causes, effects), however the information from other systems will be assimilated as well. The framework has three key components: knowledge management, uncertainty reasoning and software agents. The ontology is chosen to address the management of human body systems knowledge. The Bayesian Network is the graphical model for probabilistic knowledge representation and reasoning about partial beliefs under uncertainty. The software agents, as collaboration framework, are in charge of the belief propagation between system instances.