Skip to main content
SpringerLink
Log in

Design of Web-Based Fuzzy Input Expert System for the Analysis of Serology Laboratory Tests

  • ORIGINAL PAPER
  • Published:
Journal of Medical Systems Aims and scope Submit manuscript

Abstract

In this study, it is aimed, using the Web-based Expert System with Fuzzy Input (WESFI), to convert the patients’ (users’) Serology Laboratory Tests (SLT) results to linguistic statements (low, normal, high) and analyzing those, give a feedback to the user (patient) of the potential signs of disease. The feedbacks given to the patients are the existing interpretations in the database, which were prepared by doctors before. Furthermore, the SLT terms (Brucella Coombs, Ama, P-Protein etc.) are explained in a way that the user can understand. The WESFI is published with an interface on the web environment. In order to determine the rate of the success of the WESFI, users evaluated the system answering the “How do you find the evaluation?” question. The question has been answered by 461 users. As a result it is observed that 90% of female users, 92% of male users and 91% of all users found the system useful.

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

Access this article

Log in via an institution

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Institutional subscriptions

Fig. 1
Fig. 2
Fig. 3

Similar content being viewed by others

References

  1. Tietz, W., Establishment and use of reference values. In: Textbook of Clinical Chemistry. Philadelphia: WB Saunders Company, 2nd Edition, 454–485, 1999.

  2. Incekara, H., The design of web ınterfaced fuzzy expert system in the analysis of medical test results, Master Thesis, Selçuk University, Graduate School of Natural and Applied Sciences, Konya/Turkey, 2010.

  3. Özkan, M. T., and Gülesin, M., The selection of bolts and gears through expert system approach. Turk J Eng Environ Sci 25:169–177, 2001.

    Google Scholar 

  4. Nguyan, H. T., and Walkey, E. A., First course in fuzzy logic, third edition. Chapman and Hall/CRC, 2006.

  5. Ekmekci D., Speed estimation with driver model by fuzzy logic and determination of the shortest route, Master Thesis, Graduate School of Natural and Applied Sciences. Sakarya/Turkey: Sakarya University, 2008.

  6. Tatlı, E. I., Expert systems, seminar work. Yıldız Teknik University, İstanbul, 2000.

    Google Scholar 

  7. Nabiyev, V. V., Artificial intelligence. Seçkin Publications, Ankara, 2003.

    Google Scholar 

  8. Allahverdi, N., Expert systems. Atlas Publications, İstanbul, 2002.

    Google Scholar 

  9. Chang, C. C., and Tseng, C.T., A network problem diagnosis expert system based on web services, Proceedings of the Seventh International Conference on Machine Learning and Cybernetics, Kunming, IEEE, pp. 3726–3731, 2008.

  10. Hayes, F. R., Rule-based system. CACM 28(9), 1985.

  11. Chorbev, I., Mihajlov, D., and Jolevski, I, Web based medical expert system with a self training heuristic rule induction algorithm. First International Conference on Advances in Databases, Knowledge, and Data Applications, IEEE, Mexico, pp. 143–148, 2009.

  12. Tsumoto, S., Web based medical decision support system for neurological diseases, Proceedings of the IEEE/WIC International Conference on Web Intelligence, Canada, pp. 629–632, 2003.

Download references

Acknowledgement

This work is supported by the Selcuk University Scientific Research Projects Coordinatorship /Konya, Turkey.

Author information

Authors and Affiliations

  1. Department of Electronics and Computer Education, Technical Education Faculty, Selcuk University, 42003, Selçuklu, Konya, Turkey

    Fatih Başçiftçi

  2. Graduate School of Natural and Applied Sciences, Selcuk University, 42003, Selçuklu, Konya, Turkey

    Hayri İncekara

Authors
  1. Fatih Başçiftçi
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Hayri İncekara
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Fatih Başçiftçi.

Rights and permissions

Reprints and permissions

About this article

Cite this article

Başçiftçi, F., İncekara, H. Design of Web-Based Fuzzy Input Expert System for the Analysis of Serology Laboratory Tests. J Med Syst 36, 2187–2191 (2012). https://doi.org/10.1007/s10916-011-9684-3

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s10916-011-9684-3

Keywords

Search

Navigation