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
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;
Conference_Titel :
Microwave & Telecommunication Technology (CriMiCo), 2014 24th International Crimean Conference
Conference_Location :
Sevastopol
Print_ISBN :
978-966-335-412-5
DOI :
10.1109/CRMICO.2014.6959417
