Identyfikatory
Warianty tytułu
Języki publikacji
Abstrakty
In the paper a method for designing production rules with uncertainty from medical aggregate data is proposed. Our main goal is to define the parameters that have an influence on the reliability of obtained rules. We distinguish two factors of reliability: global and internal ones. They determine a rule's importance in comparison to other obtained rules. Those rules compose the knowledge base of a medical Rule-Based System (RBS) aiding medical diagnosis and treatment.
Rocznik
Tom
Strony
103--110
Opis fizyczny
Bibliogr. 10 poz.
Twórcy
autor
- Poznan University of Technology, Institute of Mathematics, ul. Piotrowo 3a, 60-965 Poznań, Poland
autor
Bibliografia
- [1] AGRAVAL R., IMIELIŃSKI T., SWAMI A., Database mining: A performance perspective, IEEE Transactions on Knowledge Engineering, Vol. 5(6), 1993, pp. 914-925.
- [2] CICHOSZ P., Learning systems, WNT, Warszawa, 2007.
- [3] DOLIN R.H., ALSCHULER L., BOYER S., BEEBE C., Kona Editorial Group., An Update on HL7’s XML-based Document Representation Standards. Proceedings of AMIA Symp., 2000, pp. 190-194.
- [4] JANKOWSKA B., SZYMKOWIAK M., How to Acquire and Structuralize Knowledge for Medical Rule-Based Systems? Studies in Computational Intelligence, J. Kacprzyk (ed.), Springer Series, Berlin /Heidelberg, 2008, pp. 115-130.
- [5] JANKOWSKA B., SZYMKOWIAK M., Designing Medical Production Rules from Semantically Integrated Data, submitted to the conf., MIT 2010.
- [6] LUCAS P.J.F., SEGAR R.W., JANSSENS A.R., HEPAR: an expert system for diagnosis and disorders of the liver and biliary tract, Liver 9, 1989, pp. 266-275.
- [7] PETRIE A., SABIN C., Medical Statistics at a Glance., Blackwell Science Ltd, London, 2000.
- [8] PLOTNICK L.H., DUCHARME F.M., Combined inhaled anticholinergics and beta2-agonists for initial treatment of acute asthma in children., The Cochrane Library, 2005.
- [9] SHORTLIFFE E., Computer-Based Medical Consultations: MYCIN, American Elsevier, 1976.
- [10] SZYMKOWIAK M., JANKOWSKA B., Discovering Medical Knowledge from Data in Patients’ Files. ICCCI Wrocław 2009, LNAI 5796, Springer-Verlag, Berlin/Heidelberg, 2009, pp. 128-139.
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-article-PWA4-0018-0013