DocumentCode
2394474
Title
A hybrid system for diagnosis and treatment of heart disease
Author
Hudson, D.L. ; Cohen, M.E. ; Deedwania, P.C.
Author_Institution
California Univ., San Francisco, CA, USA
fYear
1994
fDate
1994
Firstpage
1368
Abstract
A number of approaches have been used in the development of decision support systems. In this article, a hybrid system approach is summarized with combines a knowledge-based system, neural network model, and time series analysis into one system for the diagnosis and treatment of heart disease
Keywords
cardiology; chaotic data; crisp data; decision support systems; diagnosis; fuzzy data; heart disease; hybrid system; knowledge-based system; neural network model; potential function supervised learning algorithm; temporal data; time series analysis; treatment; Cardiac disease; Chaos; Decision support systems; Fuzzy systems; Knowledge based systems; Medical diagnostic imaging; Neural networks; Pattern classification; Pattern recognition; Time series analysis;
fLanguage
English
Publisher
ieee
Conference_Titel
Engineering in Medicine and Biology Society, 1994. Engineering Advances: New Opportunities for Biomedical Engineers. Proceedings of the 16th Annual International Conference of the IEEE
Conference_Location
Baltimore, MD
Print_ISBN
0-7803-2050-6
Type
conf
DOI
10.1109/IEMBS.1994.415476
Filename
415476
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