Skip to main content
SpringerLink
Log in

Towards an Expert System for the Field of Neurology Based on Fuzzy Logic

  • Conference paper
  • First Online:
KI 2015: Advances in Artificial Intelligence (KI 2015)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 9324))

Abstract

Differential diagnoses in the field of neurology are very complex whereas a fast and precise treatment is absolutely necessary for a positive outcome for patients. Support through expert systems has shown to improve practitioners performance in certain areas. In this paper an approach for an expert system for the field of neurology based on fuzzy logic is presented. The client and server side applications, as well as the knowledge base are explained. Furthermore an overview of remaining challenges and issues is given.

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

Access this chapter

Log in via an institution
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. AngularJS Team: AngularJS - HTML enhanced for web apps! (2015). https://angularjs.org/ (last visited May 22, 2015)

  2. Berner, E.: Clinical decision support systems: state of the art. AHRQ Publication (09) (2009)

    Google Scholar 

  3. Bickel, A., Grunewald, M.: Ein Expertensystem für das Fachgebiet Neurologie-Möglichkeiten und Grenzen. Fortschritte der Neurologie, 723–731 (2006)

    Google Scholar 

  4. Borgohain, R., Sanyal, S.: Rule Based Expert System for Cerebral Palsy Diagnosis, pp. 1–4 (2012a). arXiv preprint arXiv:1207.0117, http://arxiv.org/abs/1207.0117

  5. Borgohain, R., Sanyal, S.: Rule Based Expert System for Diagnosis of Neuromuscular Disorders, pp. 1–5 (2012b). arXiv preprint arXiv:1207.2104, http://arxiv.org/abs/1207.2104

  6. Bunke, H., Flückiger, F., Ludin, H.P., Conti, F.: Diagnostic expert systems in neurology - a comparison between a rule based prototype and a database oriented approach. In: Rienhoff, O., Piccolo, U., Schneider, B. (eds.) Expert Systems and Decision Support in Medicine. LNCS, vol. 36, pp. 209–212. Springer, Heildelberg (1988)

    Chapter  Google Scholar 

  7. Cingolani, P., Alcala-Fdez, J.: jfuzzylogic: a robust and flexible fuzzy-logic inference system language implementation. In: FUZZ-IEEE, pp. 1–8. Citeseer (2012)

    Google Scholar 

  8. Deutsche Gesellschaft für Neurologie e.V.: Deutsche Gesellschaft für Neurologie e.V. (2015). http://www.dgn.org (last visited January 22, 2015)

  9. Dinevski, D., Bele, U., Šarenac, T., Rajkovič, U., Šušteršič, O.: Clinical decision support systems. Studies in health technology and informatics, pp. 217–238, December 2013

    Google Scholar 

  10. Friedman-Hill, E.: JESS in Action. Manning Greenwich, CT (2003)

    Google Scholar 

  11. Ghahazi, M.A., Fazel Zarandi, M.H., Harirchian, M.H., Damirchi-Darasi, S.R.: Fuzzy rule based expert system for diagnosis of multiple sclerosis. In: 2014 IEEE Conference on Norbert Wiener in the 21st Century (21CW), pp. 1–5. IEEE (2014)

    Google Scholar 

  12. Josefiok, M.: Measuring and monitoring the rehabilitation of patients on monitoring stations via the analyses of poly-structured data. In: Jahrestagung der Gesellschaft für Informatik e.V. (GI) Informatik 2014, vol. 44. LNI, GI (2014)

    Google Scholar 

  13. Josefiok, M., Korfkamp, D., Witt, J.: An approach for a web-based analysis solution with MUSTANG. In: The Seventh International Conferences on Advanced Service Computing. IARIA XPS Press (2015a)

    Google Scholar 

  14. Josefiok, M., Krahn, T., Sauer, J.: A survey on expert systems for diagnosis support in the field of neurology. In: Howlett, R.J., Jain, L.C. (eds.) Intelligent Decision Technologies - Proceedings of the 4th International Conference on Intelligent Decision Technologies (IDT 2015). Springer (2015b)

    Google Scholar 

  15. Josefiok, M., Norkus, O., Sauer, J.: An approach for a web-based diagnosis cockpit for the field of neurology. In: The Third International Conference on Building and Exploring Web Based Environments. IARIA XPS Press (2015c)

    Google Scholar 

  16. Moher, D., Liberati, A., Tetzlaff, J., Altman, D.G., Group, T.P.: Preferred Reporting Items for Systematic Reviews and Meta-Analyses: The PRISMA Statement. PLoS Med. 6(7), e1000097 (2009). http://dx.doi.org/10.1371/journal.pmed.1000097

    Article  Google Scholar 

  17. Reimers, C.D., Bitsch, A.: Differenzialdiagnose Neurologie. Kohlhammer, Stuttgart (2008)

    Google Scholar 

  18. Vaghefi, S.Y.M., Isfahani, T.M.: Roses: an expert system for diagnosing six neurologic diseases in children title. In: Int. Conf. Intelligent Systems & Agents, pp. 259–260 (2009)

    Google Scholar 

  19. Weiß, J.P., Josefiok, M., Krahn, T., Appelrath, H.J.: Entwicklung eines fachkonzepts für die klinische entscheidungsunterstützung durch analytische informationssysteme. In: Proceedings of the 12th International Conference on Wirtschaftsinformatik (WI2015) (2015)

    Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Carl von Ossietzky Universität Oldenburg, Ammerländer Heerstraße 114-118, 26129, Oldenburg, Germany

    Mirco Josefiok & Jürgen Sauer

Authors
  1. Mirco Josefiok
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Jürgen Sauer
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Mirco Josefiok .

Editor information

Editors and Affiliations

  1. Technische Universität Dresden, Dresden, Germany

    Steffen Hölldobler

  2. Technische Universität Dresden, Dresden, Germany

  3. Free University Bozen-Bolzano, Bozen-Bolzano, Italy

    Rafael Peñaloza

  4. Technische Universität Dresden, Dresden, Germany

    Sebastian Rudolph

Rights and permissions

Reprints and permissions

Copyright information

© 2015 Springer International Publishing Switzerland

About this paper

Cite this paper

Josefiok, M., Sauer, J. (2015). Towards an Expert System for the Field of Neurology Based on Fuzzy Logic. In: Hölldobler, S., , Peñaloza, R., Rudolph, S. (eds) KI 2015: Advances in Artificial Intelligence. KI 2015. Lecture Notes in Computer Science(), vol 9324. Springer, Cham. https://doi.org/10.1007/978-3-319-24489-1_31

Download citation

  • DOI: https://doi.org/10.1007/978-3-319-24489-1_31

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-24488-4

  • Online ISBN: 978-3-319-24489-1

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics

Search

Navigation