Title :
Model and algorithmic support of the automated system for diagnosing the pathology of central nervous system
Author :
Gubarev, Vasily V. ; Shvaikova, Kina N.
Author_Institution :
Novosibirsk State Univ., Russia
Abstract :
Various system of medical diagnosing developed and used for to solve various diagnostic tasks does not take into account frequently the diverse diagnostic data received as a result of other methods of inspection of the patient. The present report deals with the questions of the application of the vector-modeling for the solving of problems of medical diagnosing.
Keywords :
decision making; medical diagnostic computing; neurophysiology; patient diagnosis; automated system algorithmic support; automated system model; central nervous system; diverse diagnostic data; medical diagnosing; pathology; patient inspection; problem solving; vector modeling; Biomedical computing; Medical diagnosis; Nervous system;
Conference_Titel :
Electron Devices and Materials, 2004. Proceedings. 5th Annual. 2004 International Siberian Workshop on
Print_ISBN :
5-7782-0463-9
DOI :
10.1109/PESC.2004.241211
