Scopus
YÖKSİS DOI Eşleşti
SJR Q1
A study on hepatitis disease diagnosis using multilayer neural network with Levenberg Marquardt training algorithm
Journal of Medical Systems · Haziran 2011
YÖKSİS Kayıtları
A Study on Hepatitis Disease Diagnosis Using Multilayer Neural Network with Levenberg Marquardt Training Algorithm
Journal of Medical Systems · 2011 SCI-Expanded 32 atıf
Prof. Dr. MUHAMMET SERDAR BAŞÇIL →
A Study on Hepatitis Disease Diagnosis Using Multilayer Neural Network with Levenberg Marquardt Training Algorithm
Journal of Medical Systems · 2011 SCI-Expanded
Prof. Dr. MUHAMMET SERDAR BAŞÇIL →
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Makale Bilgileri
ISSN01485598
Yayın TarihiHaziran 2011
Cilt / Sayfa35 · 433-436
Scopus ID2-s2.0-79959751877
Özet
In this study, a hepatitis disease diagnosis study was realized using neural network structure. For this purpose, a multilayer neural network structure was used. Levenberg-Marquardt algorithm was used as training algorithm for the weights update of the neural network. The results of the study were compared with the results of the previous studies reported focusing on hepatitis disease diagnosis and using same UCI machine learning database. We obtained a classification accuracy of 91.87% via tenfold cross validation. © 2009 Springer Science+Business Media, LLC.
Yazarlar (2)
1
Muhammet Serdar Bascil
2
Feyzullah Temurtas
Anahtar Kelimeler
Hepatitis disease diagnosis
Levenberg-Marquardt training algorithm
Multilayer neural network
Kurumlar
Bozok Üniversitesi
Yozgat Turkey
Scimago Dergi (ISSN Eşleşmesi)
Journal of Medical Systems
Q1
SJR Skoru0,962
H-Index120
YayıncıSpringer New York
ÜlkeUnited States
Information Systems (Q1)
Medicine (miscellaneous) (Q1)
Health Informatics (Q2)
Health Information Management (Q2)
Metrikler
51
Atıf
2
Yazar
3
Anahtar Kelime