Please use this identifier to cite or link to this item:
https://hdl.handle.net/20.500.11851/7374
Full metadata record
DC Field | Value | Language |
---|---|---|
dc.contributor.author | İlbay, Konuralp | - |
dc.contributor.author | Übeyli, Elif Derya | - |
dc.contributor.author | İlbay, Gül | - |
dc.contributor.author | Budak, Faik | - |
dc.date.accessioned | 2021-09-11T15:56:40Z | - |
dc.date.available | 2021-09-11T15:56:40Z | - |
dc.date.issued | 2010 | en_US |
dc.identifier.issn | 0148-5598 | - |
dc.identifier.issn | 1573-689X | - |
dc.identifier.uri | https://doi.org/10.1007/s10916-009-9277-6 | - |
dc.identifier.uri | https://hdl.handle.net/20.500.11851/7374 | - |
dc.description.abstract | This paper presents the use of recurrent neural networks (RNNs) for diagnosis of carpal tunnel syndrome (CTS) (normal, right CTS, left CTS, bilateral CTS). The RNN is trained with the Levenberg-Marquardt algorithm. The RNN is trained on the features of CTS (right median motor latency, left median motor latency, right median sensory latency, left median sensory latency). The multilayer perceptron neural network (MLPNN) is also implemented for comparison the performance of the classifiers on the same diagnosis problem. The total classification accuracy of the RNN is significantly high (94.80%). The obtained results confirmed the validity of the RNNs to help in clinical decision-making. | en_US |
dc.language.iso | en | en_US |
dc.publisher | Springer | en_US |
dc.relation.ispartof | Journal of Medical Systems | en_US |
dc.rights | info:eu-repo/semantics/closedAccess | en_US |
dc.subject | Carpal tunnel syndrome | en_US |
dc.subject | Median motor latency | en_US |
dc.subject | Median sensory latency | en_US |
dc.subject | Clasification accuracy | en_US |
dc.subject | Recurrent neural network | en_US |
dc.title | Recurrent Neural Networks for Diagnosis of Carpal Tunnel Syndrome Using Electrophysiologic Findings | en_US |
dc.type | Article | en_US |
dc.department | Faculties, Faculty of Engineering, Department of Electrical and Electronics Engineering | en_US |
dc.department | Fakülteler, Mühendislik Fakültesi, Elektrik ve Elektronik Mühendisliği Bölümü | tr_TR |
dc.identifier.volume | 34 | en_US |
dc.identifier.issue | 4 | en_US |
dc.identifier.startpage | 643 | en_US |
dc.identifier.endpage | 650 | en_US |
dc.identifier.wos | WOS:000280071200023 | en_US |
dc.identifier.scopus | 2-s2.0-77956062853 | en_US |
dc.institutionauthor | Übeyli, Elif Derya | - |
dc.identifier.pmid | 20703918 | en_US |
dc.identifier.doi | 10.1007/s10916-009-9277-6 | - |
dc.relation.publicationcategory | Makale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı | en_US |
dc.identifier.scopusquality | Q2 | - |
item.openairetype | Article | - |
item.languageiso639-1 | en | - |
item.grantfulltext | none | - |
item.fulltext | No Fulltext | - |
item.openairecristype | http://purl.org/coar/resource_type/c_18cf | - |
item.cerifentitytype | Publications | - |
Appears in Collections: | Elektrik ve Elektronik Mühendisliği Bölümü / Department of Electrical & Electronics Engineering PubMed İndeksli Yayınlar Koleksiyonu / PubMed Indexed Publications Collection Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collection WoS İndeksli Yayınlar Koleksiyonu / WoS Indexed Publications Collection |
CORE Recommender
SCOPUSTM
Citations
3
checked on Dec 21, 2024
WEB OF SCIENCETM
Citations
2
checked on Dec 21, 2024
Page view(s)
58
checked on Dec 23, 2024
Google ScholarTM
Check
Altmetric
Items in GCRIS Repository are protected by copyright, with all rights reserved, unless otherwise indicated.