Skip to main content

Virtual Doctor System (VDS): Reasoning Challenges for Simple Case Diagnosis Based on Ontologies Alignment

  • Conference paper
Book cover Intelligent Information and Database Systems (ACIIDS 2011)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 6591))

Included in the following conference series:

  • 1065 Accesses

Abstract

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.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 39.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 54.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. 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)

    Article  Google Scholar 

  2. Fujita, H., Hakura, J., Kurematsu, M.: Invited Talk: Multiviews ontologies alignment for medical based reasoning ontology based reasoning for VDS. In: 2010 IEEE 11th International Symposium on Computational Intelligence and Informatics (CINTI), pp. 15–22 (November 18-20, 2010), doi:10.1109/CINTI.2010.5672279

    Google Scholar 

  3. 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 1(2), 137–144 (2008)

    Google Scholar 

  4. Hakura, J., Kurematsu, M., Fujita, H.: 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), doi:10.3233/978-1-60750-049-0-518

    Google Scholar 

  5. 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), doi:10.3233/978-1-60750-049-0-531

    Google Scholar 

  6. http://www.somet.soft.iwate-pu.ac.jp/system_news/All_News_600MB.rar 600MB movie, http://www.somet.soft.iwate-pu.ac.jp/system_news/System_flow_operation_mpeg.rar , http://www.somet.soft.iwate-pu.ac.jp/system_news/VDS_sample2.rar 100MB

  7. Pearl, J.: Probabilistic Reasoning in Intelligent Systems: Networks of Plausible Inference. Morgan Kaufmann, San Francisco (1988)

    MATH  Google Scholar 

  8. Kurematsu, K., Chiba, H., Hakura, J., Fujita, H.: A Framework of Emotional Speech Synthesize Using a Chord and a Scale. In: New Trends in Software Methodologies, tools and Techniques, SoMeT 2010, vol. 217, IOS press, Amsterdam (2010), doi:10.3233/978-1-60750-629-4-500

    Google Scholar 

  9. Netica software package: NORSYS Software Corporation, http://www.norsys.com/

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2011 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Fujita, H., Hakura, J., Kurematsu, M. (2011). Virtual Doctor System (VDS): Reasoning Challenges for Simple Case Diagnosis Based on Ontologies Alignment. In: Nguyen, N.T., Kim, CG., Janiak, A. (eds) Intelligent Information and Database Systems. ACIIDS 2011. Lecture Notes in Computer Science(), vol 6591. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-20039-7_1

Download citation

  • DOI: https://doi.org/10.1007/978-3-642-20039-7_1

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-20038-0

  • Online ISBN: 978-3-642-20039-7

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics