DocumentCode
156167
Title
Intelligence diagnosis system of pathological process with redundant training matrix
Author
Dovbysh, A.S. ; Stadnyk, A.A.
Author_Institution
Sumy State Univ., Sumy, Ukraine
fYear
2014
fDate
7-13 Sept. 2014
Firstpage
330
Lastpage
331
Abstract
The method of infection diseases diagnosing is considered within the bounds of information-extreme intelligence technology, which is based on maximization of informational capability of a decision support system in the study process by means of sequential optimization of the redundant binary training matrix. Implementation of the proposed algorithm was done for GRID-center of acute enteric infection diagnosing.
Keywords
decision support systems; diseases; optimisation; patient diagnosis; GRID-center-of-acute enteric infection diagnosing method; decision support system; information-extreme intelligence technology; intelligence diagnosis system; pathological process; redundant binary training matrix; sequential optimization; Artificial intelligence; Quality of service; Training;
fLanguage
English
Publisher
ieee
Conference_Titel
Microwave & Telecommunication Technology (CriMiCo), 2014 24th International Crimean Conference
Conference_Location
Sevastopol
Print_ISBN
978-966-335-412-5
Type
conf
DOI
10.1109/CRMICO.2014.6959417
Filename
6959417
Link To Document