DocumentCode :
291999
Title :
Intelligent integration of medical models: a rigorous approach to resolving the dichotomy in medical models
Author :
James, John ; DeClaris, Nicholas ; Kohn, Wolf ; Nerode, Anil
Author_Institution :
Intermetrics Inc., McLean, VA, USA
Volume :
2
fYear :
1994
fDate :
2-5 Oct 1994
Firstpage :
1291
Abstract :
Today, the dominant modeling concepts for medical information systems are based on: 1) “homeostasis”, and 2) “physical dynamics”-such as those encountered in pharmacology, quantitative pathophysiology, and more recently in immunology. We introduce the novel idea of the hybrid system state which is used to provide a basis for modeling of medical systems and the carrier manifold which is used for analysis, design, and integration of medical models. We discuss the intelligent integration of what is now a dichotomy in medical models. The dichotomy we refer to occurs between the phenomenological models of high-level decisions and the evolution models of low-level dynamics. By intelligent we mean an explicit declaration of the rules: for composition of heterogeneous models. By rigorous we mean that, to the extent that the phenomenological models are correct, the evolution models are correct, and the composition rules are correct, our approach for integration of medical models will extract a correct, integrated program
Keywords :
cooperative systems; inference mechanisms; knowledge based systems; medical computing; medical information systems; theorem proving; composition rules; dichotomy; evolution models; heterogeneous models; intelligent integration; knowledge based system; knowledge decoder; medical information systems; medical models; multiple agent system; phenomenological models; theorem proving; Biomedical engineering; Control systems; Costs; Differential equations; Educational institutions; Immune system; Information systems; Logic testing; Medical control systems; Medical information systems; Pathology;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Systems, Man, and Cybernetics, 1994. Humans, Information and Technology., 1994 IEEE International Conference on
Conference_Location :
San Antonio, TX
Print_ISBN :
0-7803-2129-4
Type :
conf
DOI :
10.1109/ICSMC.1994.400023
Filename :
400023
Link To Document :
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