Multiviews ontologies based reasoning for medical diagnosis in VDS

This paper examined issues on reasoning in Virtual Doctor System based on two views representations for patient diagnosis. This is reason on similar medical concepts that are viewed on the presented ontology, to reason on medical status for patients. These two types of ontology have been presented to formalize a patient state: mental ontology reflecting the patient mental behavior due to certain disorder and physical ontology reflecting the observed physical behavior exhibited through disorder. These diagnosis issues are represented through concepts. Patient observations are reflected on these concepts for similarity calculation that produce decision making based query. These two types of ontologies have been mapped and aligned for reasoning using a simple Bayesian Network for causal reasoning to find related query decision case based diagnosis collected from expert doctors.. We have constructed an integrated computerized model which reflects a human diagnostician as computer model and through it; an integrated interaction between that model and the real human user (patient) is utilized for 1^st stage diagnosis purposes.