Title :
Decision support system for telemedicine based on multiple expertise
Author :
Terziyan, Vagan ; Puuronen, Seppo ; Kovalainen, Mikko
Author_Institution :
Kharkov Tech. Univ. of Radioelectron., Ukraine
Abstract :
This paper discusses results of the research in the area of artificial intelligence applications in telemedicine. The main goal of research is to manage multiple expertise obtained from experts-physicians in different countries to develop decision support medical system of broad earmarking based on telecommunication tools. The multilevel representation of medical data is discussed based on the apparatus of metastatistics. The technique is able to acquire semantically essential information from complex dynamics of quasi-periodical medical signals by applying recursively ordinary statistical tools. The voting-type technique is used to find consensus among medical experts in their description of medical knowledge. Research results are applied for developing Telediagnostic Expert Medical System and Medical Teleconsulting Support System
Keywords :
decision support systems; medical expert systems; Medical Teleconsulting Support System; Telediagnostic Expert Medical System; artificial intelligence; complex dynamics; decision support system; experts-physicians; multilevel representation; multiple expertise; ordinary statistical tools; semantically essential information; telecommunication tools; telemedicine; voting-type technique; Data analysis; Decision making; Decision support systems; Diagnostic expert systems; Medical diagnosis; Medical diagnostic imaging; Medical expert systems; Metastasis; Signal processing; Telemedicine;
Conference_Titel :
Computer-Based Medical Systems., 1997. Proceedings., Tenth IEEE Symposium on
Conference_Location :
Maribor
Print_ISBN :
0-8186-7928-X
DOI :
10.1109/CBMS.1997.596401