Fuzzy reasoning applied to multistage diagnosis of acute renal failure in children

• Autorzy: Kurzyński M. W.
• Konferencja: Computers in Medical Applications: XIIIth Biocybernetics and Biomedical Engineering Conference (10-13 September 2003, Gdańsk, Poland)
• Języki publikacji: EN

Abstrakty

EN

The paper deals with fuzzy inference systems for multistage recognition based on a decision tree scheme. Two conceptually different fuzzy methods are presented and discussed for the given learning set. The first method is developed according to the multistage approach known as the Mamdani inference engine, with rules generated from the learning set. In the second approach, we first construct a fuzzy relation between the decision set and the feature space, which is then used for decision making. Both methods were practically applied to computer-aided medical diagnosis of acute renal failure. Results of comparative experimental analysis are given.

Słowa kluczowe

EN

multistage recognition; fuzzy systems; medical application

• Wydawca: Politechnika Gdańska
• Czasopismo: TASK Quarterly : scientific bulletin of Academic Computer Centre in Gdansk
• Rocznik: 2004
• Tom: Vol. 8, No 2
• Strony: 171--181
• Opis fizyczny: Bibliogr. 12 poz., rys., tab.

Twórcy

autor

Kurzyński M. W.

• Chair of Systems and Computer Networks, Faculty of Electronics, Wroclaw University of Technology, Wyb. Wyspiańskiego 27, 50-370 Wrocław, Poland

Bibliografia

• [1] Kurzyński M 2002 Proc. 1 st Int. Conf. on Fuzzy Systems and Knowledge Discovery, Singapore (CD ROM)
• [2] Kurzyński M 2002 Proc. IEEE EMBS Conf., Vienna, pp. 762–766
• [3] Kurzyński M 1988 Pattern Recognition 21 355
• [4] Kurzyński M 2003 Medical Data Analysis, Springer Verlag, pp. 99–108
• [5] Pedrycz W 1993 Fuzzy Control and Fuzzy Systems, John Willey & Sons, New York
• [6] Wang L-X 1998 A Course in Fuzzy Systems and Control, Prentice-Hall, New York
• [7] Czogala E and Leski J 2000 Fuzzy and Neuro-fuzzy Intelligent Systems, Physica-Verlag, New York
• [8] Wang L-X and Mendel J M 1992 IEEE Trans. SMC 22 1414
• [9] James J A 1996 Renal Disease in Childhood, The C.V. Mosby Comp., London
• [10] Devroye L, Gyorfi P and Lugossi G 1996 A Probabilistic Theory of Pattern Recognition, Springer Verlag, New York
• [11] Mitchell T M 1996 An Introduction to Genetic Algorithms, MIT Cambridge, MA
• [12] Goldberg D E 1989 Genetic Algorithms in Seach, Optimization and Machine Learning, Addison-Wesley, New York