Conventional and neuro-fuzzy framework for diagnosis and therapy of cardiovascular disease

• Autorzy: Obot O. U. , Uzoka F. M. , Akinyokun O. C. , Andy J. J.
• Języki publikacji: EN

Abstrakty

EN

In this article, we present the conventional method and neuro-fuzzy model for the diagnosis and therapy of heart disease. The neuro-fuzzy system provides a basis for creating a decision support system that has a learning ability and the capacity to deal with vagueness and unstructuredness in disease management. The decision support engine carries out the cognitive and emotional filtering of the objective and subjective feelings of the medical practitioner. These filters further refine the diagnosis and therapy processes by taking care of the contextual elements.

Słowa kluczowe

EN

cardiovascular; diagnosis; emotional filter; fuzzy logic; heart failure; neural networks; neuro-fuzzy; therapy

• Wydawca: Uniwersytet Jagielloński - Collegium Medicum ; Index Copernicus Sp. z o.o.
• Czasopismo: Bio-Algorithms and Med-Systems
• Rocznik: 2013
• Tom: Vol. 9, no. 3
• Strony: 115--133
• Opis fizyczny: Bibliogr. 32 poz., rys., tab.

Twórcy

autor

Obot O. U.

• Department of Computer Science, University of Uyo, Uyo, Nigeria

autor

Uzoka F. M.

• Department of Computer Science and Information Systems, Mount Royal University, 4825 Mount Royal Gate SW, AB T3E 6K6, Calgary, Alberta, Canada

autor

Akinyokun O. C.

• Department of Computer Science, Federal University of Technology, Akure, Nigeria

autor

Andy J. J.

• Department of Cardiology, University of Uyo Teaching Hospital, Uyo, Nigeria

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