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
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;
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
DOI :
10.1109/IEMBS.1994.415476
