DocumentCode
1732558
Title
Multiviews ontologies alignment for medical based reasoning ontology based reasoning for VDS
Author
Fujita, Hamido ; Hakura, Jun ; Kurematsu, Masaki
Author_Institution
Intell. Software Syst. Lab., Iwate Prefectuarl Univ., Iwate, Japan
fYear
2010
Firstpage
15
Lastpage
22
Abstract
Two views representation for patient diagnosis is presented, to reason to examine medical status for patients. Emotional modeling and physical views, collectively; have been investigated and reported in this paper. 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 two types of ontologies have been mapped and aligned for reasoning 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 (patient) is utilized for 1st stage diagnosis purposes..
Keywords
belief networks; inference mechanisms; medical computing; ontologies (artificial intelligence); patient diagnosis; Bayesian network; causal reasoning; emotional modeling; human diagnostician; medical based reasoning; multiviews ontologies alignment; patient diagnosis; Avatars; Cognition; Face; Medical diagnostic imaging; Medical services; Ontologies; Medical diagnosis; cognitive model; human interaction; knowledge based reasoning;
fLanguage
English
Publisher
ieee
Conference_Titel
Computational Intelligence and Informatics (CINTI), 2010 11th International Symposium on
Conference_Location
Budapest
Print_ISBN
978-1-4244-9279-4
Electronic_ISBN
978-1-4244-9280-0
Type
conf
DOI
10.1109/CINTI.2010.5672279
Filename
5672279
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