Please use this identifier to cite or link to this item: https://open.uns.ac.rs/handle/123456789/10237
Title: An approach of soft computing applications in clinical neurology
Authors: Simić, Dragan 
Simić S.
Tanackov, Ilija 
Issue Date: 7-Jun-2011
Journal: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Abstract: This paper briefly introduces various soft computing techniques and presents miscellaneous applications in clinical neurology domain. The aim is to present the large possibilities of applying soft computing to neurology related problems. Recently published data about use of soft computing in neurology are observed from the literature, surveyed and reviewed. This study detects which methodology or methodologies of soft computing are frequently used together to solve the specific problems of medicine. Recent developments in medicine show that diagnostic expert systems can help physicians make a definitive diagnosis. Automated diagnostic systems are important applications of pattern recognition, aiming at assisting physicians in making diagnostics decisions. Soft computing models have been researched and implemented in neurology for a very long time. This paper presents applications of soft computing models of the cutting edge researches in neurology domain. © 2011 Springer-Verlag.
URI: https://open.uns.ac.rs/handle/123456789/10237
ISBN: 9783642212215
ISSN: 3029743
DOI: 10.1007/978-3-642-21222-2_52
Appears in Collections:FTN Publikacije/Publications

Show full item record

SCOPUSTM   
Citations

1
checked on Apr 29, 2023

Page view(s)

32
Last Week
14
Last month
8
checked on May 10, 2024

Google ScholarTM

Check

Altmetric


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.