Knowledge-based in medical decision support system based on subjective intelligence

• Autorzy: Fujita H.
• Języki publikacji: EN

Abstrakty

EN

Emotional Intelligence as cybernetics approach is using cognitive reasoning to collect the subjective attribute of human subject interacted with a system for providing technical advice. This talk contributes in new Cybernetics paradigm on using multidisciplinary in decision making. It is related to the construction of Avatar that can interact with human subject for collecting subjective attributes (emotional and cognitive) and objective attributes (physical), for decision making. paper extends reasoning issues on medical diagnosis related to Virtual Doctor System (VDS). Intuitionistic fuzzy aggregation functions have been used to represent concept reflective to the mental model of the VDS. The VDS project used two physical ontology model and mental ontology model aligned on medical ontology for reasoning. In this paper the mental ontology related to medical diagnosis is the main emphasis. The mental Ontology is represented as two models: Emotion state model, and ego state model. The attributes of mental state are represented as fuzzy intuitionistic criteria. The emotion state related attributes are represented using harmonic hybrid weighted Ordered Intuitionistic fuzzy aggregation function. The ego state related attributes are represented using Bonferroni hybrid weighted average aggregate function. The both aggregate functions as well as the physical ontology aggregate functions are aligned on medical knowledge based for producing aligned inquiry for reasoning in medical knowledge. The model is built for testing.

Słowa kluczowe

EN

medical diagnosis; ontology; subjective intelligence; reasoning; fuzzy rules

PL

diagnostyka medyczna; ontologia; inteligencja; rozumowanie; reguły rozmyte

• Wydawca: University of Silesia, Institute of Informatics, Computer Systems Department
• Czasopismo: Journal of Medical Informatics & Technologies
• Rocznik: 2013
• Tom: Vol. 22
• Strony: 13--19
• Opis fizyczny: Bibliogr. 14 poz., rys.

Twórcy

autor

Fujita H.

• Iwate Prefectuarl University, Intelligent Software Systems Laboratory 152-52 Sugo, Takizawa, Iwate-gun, Iwate, 020-0173, Japan

Bibliografia

• [1] FUJITA H., HAKURA J., KUREMATSU M., Virtual Doctor System (VDS): Framework on Reasoning issues, Frontiers in Artificial Intelligence and Applications, New Trends in Software Methodologies, Tools and Techniques - Proceedings of the 9th SoMeT 10, 2010, Vol. 217, pp. 481-489, doi: http://dx.doi.org/10.3233/978-1-60750-629-4-481.
• [2] FUJITA H., HAKURA J., KUREMATSU M., Mental cloning base virtual diagnostician system: Virtual Medical Doctor(VMD) reasoning system, Proceedings of Third International Conference on Health Informatics, 2010, pp. 250-256.
• [3] FUJITA H., HAKURA J., KUREMATSU M., Virtual Medical Doctor Systems: Status progress report on Virtual Medical Doctor(VMD), Proceedings of Third International Conference on Health Informatics, 2010, pp. 38-45.
• [4] FUJITA H., HAKURA J., KUREMATSU M., Intelligent human interface based on mental cloning-based software, International Journal on Knowledge-Based Systems, Elsevier, 2009 , Vol. 22, pp. 216-234.
• [5] FUJITA H., HAKURA J., KUREMATSU M., Virtual Doctor System (VDS): Medical Decision Reasoning based on Physical and Mental ontologies, The 23rd International Conference on Industrial, Engineering & Other Applications of Applied Intelligent Systems (IEA-AIE 2010), 2010, Springer, Vol. 6097.
• [6] FUJITA H., HAKURA J., KUREMATSU M., Chida S., Arakawa Y., Empirical based Techniques for Human Cognitive Interaction Analysis: Universal Template Design the 7th New Trends in Software Methodologies, tools and Techniques (Proceedings of SoMeT 08), 2008, pp. 257-277, ISBN: 978-1-158603-916-5.
• [7] FUJITA H., RUDAS I., FODOR J., KUREMATSU M., HAKURA J., Fuzzy Reasoning for Medical Diagnosis-based Aggregation on Different Ontologies IEEE 7th International Symposium on Applied Computational Intelligence and Informatics, May, 2012.
• [8] HAKURA J., KUREMATSU M., FUJITA H., An Exploration toward Emotion Estimation from Facial Expressions for Systems with Quasi-Personality, INTERNATIONAL JOURNAL of CIRCUITS, SYSTEMS and SIGNAL PROCESSING, 2008, Vol. 1, No. 2, pp. 137-144.
• [9] HAKURA J., KUREMATSU M., FUJITA H., Facial Expression Invariants for Estimating Mental States of Person, Frontiers in Artificial Intelligence and application series, New Trends in Software Methodologies, tools and Techniques (SoMeT 09), 2009, Vol. 199, ISBN: 978-1-60750-049-0.
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• [11] KUREMATSU M., OHASHI M., KINOSHITA O. HAKURA J., FUJITA H., An Approach to implement Listeners Estimate Emotion in Speech, Frontiers in Artificial Intelligence and application series, New Trends in Software Methodologies, tools and Techniques (SoMeT 09), 2009, Volume 199, ISBN: 978-1-60750-049-0.
• [12] PEARL J., Probabilistic Reasoning in Intelligent Systems: Networks of Plausible Inference. Morgan Kaufmann, 1988.
• [13] ZHONIL D., BayseOWL: Probabilistic framework for Semantic Web, Ph.D thesis, University of Maryland, Baltimore, 2005.
• [14] http:/www.somet.soft.iwate-pu.ac.jp/system/news/News/2009.mpg ; http://www.somet.soft.iwate-pu.ac.jp/system/news/System/flow/operation.wmv ; http:/www.somet.soft.iwate-pu.ac.jp/system/news/VDS/Sample2.mpg ; http://www.somet.soft.iwate-pu.ac.jp/system/news/VDS/sample.wmv