Abstract
Human computer Interaction based on emotional modelling and physical views, collectively; has been investigated and reported in this paper. 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 collected exhibited consequences of such disorder. These two types of ontology have been mapped and aligned using OWL-S and SWRL for reasoning purposes. 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. The diagnostician knowledge has been utilized through UMLS for testing, and the integrated mapping of the two views been represented through OWL-S framework. The reasoning instantiation is done using SWRL and RACER integrated on Protégé 4.
This research is supported by the Ministry of Internal Affairs and Communications of Japan under the Strategic Information and Communications R&D Promotion Programme (SCOPE).
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References
ten Teije, A. (ed.): 2008 Computer-Based Medical Guidelines and Protocols: A Primer and Current Trends. Studies in Health Technology and Informatics. IOS Press, Amsterdam (2008)
Fujita, H., Hakura, J., Kurematsu, M.: Intelligent human interface based on mental cloning-based software. International Journal on Knowledge-Based Systems 22(3), 216–234 (2009)
Fujita, H., Hakura, J., Kurematsu, M., Chida, S., Arakawa, Y.: Empirical based Techniques for Human Cognitive Interaction Analysis: Universal Template Design. In: The 7th New Trends in Software Methodologies, tools and Techniques (Proceedings of SoMeT 2008), pp. 257–277. IOS Press, Amsterdam (2008)
Hakura, J., Kurematsu, M., Fujita, H.: 2008 An Exploration toward Emotion Estimation from Facial Expressions for Systems with Quasi-Personality. International Journal of Circuits, Systems and Signal Processing 1(2), 137–144 (2008)
Hakura, J., Kurematsu, M., Fujita, H.: 2009 Facial Expression Invariants for Estimating Mental States of Person. In: New Trends in Software Methodologies, tools and Techniques (SoMeT 2009). Frontiers in Artificial Intelligence and application series, vol. 199. IOS Press, Amsterdam (2009)
Kurematsu, M., Ohashi, M., Kinoshita, O., Hakura, J., Fujita, H.: An Approach to implement Listeners Estimate Emotion in Speech. In: New Trends in Software Methodologies, tools and Techniques (SoMeT 2009). Frontiers in Artificial Intelligence and application series, vol. 199. IOS Press, Amsterdam (2009)
Leflar, R.B., Iwata, F.: Medical Error as Reportable Event, as Tort, as Crime: A Transpacific Comparison. Widener Law Review 189(25) (2005)
Mikkola: Hospital Pricing reform in the public health care system- an empirical case study from Finland. International journal of Health Care Finance and Economics 3(4), 267–286 (2003)
NIPSSR, 2006; National Institute of Population and Social Security Research, Population Statistics of Japan, NIPSSR, Tokyo (2006)
Horowitz: Introduction to Psychodynamics. In: Horowitz, M.J. (ed.) A New Synthesis. Basic Books, Inc., New York (1988)
Kalfoglou, Y., Scholermmer: Ontology Mapping: the state of the art. The knowledge Engineering review (2003)
Tanaka, M., Noguchi, M.: Concept Retrieval of Medical Text using UMLS. Japan Journal of Medical Informatics 20, 934–935 (2000)
Smith: Reforming Markets in Health Care-An Economic Perspective. Open University Press, Buckingham (2000)
Trautmann, R.L., Erskine, R.G.: Ego state analysis: A comparative view. Transactional Analysis Journal 11, 178–185 (1981)
Weizenbaum, J.: ELIZA - A Computer Program for the Study of Natural Language Communication Between Man and Machine. Communications of the Association for Computing Machinery 9, 36–45 (1966)
Izard, C.E., Hembree, E.A., Huebner, R.R.: Infants’ emotion expressions to acute pain: Developmental change and stability of individual differences. Developmental Psychology 23(1), 105–113 (1987)
Rodríguez, M.A., Egenhofer, M.J.: Determining semantic similarity among entity classes from different ontologies. IEEE Transactions on Knowledge and Data Engineering 15(2), 442–456 (2003)
Arguello, M., Des, J.: Clinical practice guidelines: a case study of combining OWL-S, OWL, and SWRL. Knowledge-Based Systems 21, 247–255 (2008)
Protégé, http://protege.stanford.edu/
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Fujita, H., Hakura, J., Kurematsu, M. (2010). Virtual Doctor System (VDS): Medical Decision Reasoning Based on Physical and Mental Ontologies. In: García-Pedrajas, N., Herrera, F., Fyfe, C., Benítez, J.M., Ali, M. (eds) Trends in Applied Intelligent Systems. IEA/AIE 2010. Lecture Notes in Computer Science(), vol 6098. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-13033-5_43
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DOI: https://doi.org/10.1007/978-3-642-13033-5_43
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