Human computer Interaction based on emotional modelling and physical views, collectively; is investigated and reported in this paper. Two types of ontologies 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 two types of ontology have been mapped and aligned using a simple Bayesian Network for causal reasoning to define what we call as simple case diagnosis. 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 (patinet) us utlilized for 1st stage dignosis purposes. © 2011 Springer Berlin Heidelberg.
CITATION STYLE
Fujita, H., Hakura, J., & Kurematsu, M. (2011). Virtual doctor system (VDS): Reasoning challenges for simple case diagnosis based on ontologies alignment. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 6591 LNAI, pp. 1–13). Springer Verlag. https://doi.org/10.1007/978-3-642-20039-7_1
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