Different approaches applied to the contextual medical decision problem

• Autorzy: Kurzyński M. , Puchała E. , Woźniak M.
• Języki publikacji: EN

Abstrakty

EN

In many diagnostic problems there exist dependencies between successive states object and applied control. This situation is typical for the medical decision task, i.e. the recognition of the human acid-base state. We will present neural networks, probabilistic and fuzzy approach applied to the medical decision problem with context.

Słowa kluczowe

EN

recognition with contex neural networks; probabilistic algorithm; fuzzy logic

PL

rozpoznanie; sieci neuronowe; algorytm probabilistyczny; logika rozmyta

• Wydawca: University of Silesia, Institute of Informatics, Computer Systems Department
• Czasopismo: Journal of Medical Informatics & Technologies
• Rocznik: 2001
• Tom: Vol. 2, Part. 1
• Strony: MI147--MI153
• Opis fizyczny: Bibliogr. 4 poz., rys.

Twórcy

autor

Kurzyński M.

• Wrocław University of Technology, Faculty of Electronics, Division of Systems and Computers Networks, Wybrzeże Wyspiańskiego 27, 50-370 Wrocław, Poland

autor

Puchała E.

• Wrocław University of Technology, Faculty of Electronics, Division of Systems and Computers Networks, Wybrzeże Wyspiańskiego 27, 50-370 Wrocław, Poland

autor

Woźniak M.

• Wrocław University of Technology, Faculty of Electronics, Division of Systems and Computers Networks, Wybrzeże Wyspiańskiego 27, 50-370 Wrocław, Poland

Bibliografia

• 1] Bardossy A., Duckstein L., Fuzzy Rule-based Modeling with Applications to Geophysical, Biological and Engineering Systems, CRC Press Boca Raton, 1994.
• [2] Devijver P. A., Kittler J., Pattern Recognition: A Statistical Approach, Prentice Hall, London 1982.
• [3] Huzar Z., Kurzyński M., Sas J., Rule-based Pattern Recognition with Learning, Wrocław technical University Press, Wrocław (Poland) 1994.
• [4] Tadeusiewicz R., Sieci Neuronowe, Akademicka Oficyna Wydawnicza RM, Warszawa 1993