Scopus
YÖKSİS DOI Eşleşti
SJR Q1
Design of a hybrid system for the diabetes and heart diseases
Expert Systems with Applications · Temmuz 2008
YÖKSİS Kayıtları
Design of a hybrid system for the diabetes and heart diseases
Expert Systems with Applications · 2008 SCI-Expanded 85 atıf
Prof. Dr. HUMAR KAHRAMANLI ÖRNEK →
YÖKSİS Kayıtları — ISSN Eşleşmesi
Game-theoretic DEA Optimization for Sustainable Agricultural Carbon Trading: Evidence from Türkiye’s Maize Production
2026 ISSN: 0957-4174 SCI-Expanded Q1
Prof. Dr. ZEKİ BAYRAMOĞLU →
Web based medical decision support system application of Coronary Heart Disease diagnosis with Boolean functions minimization method
2011 ISSN: 09574174 SCI
Prof. Dr. FATİH BAŞÇİFTÇİ →
Modeling and prediction of surface roughness in turning operations using artificial neural network and multiple regression method
2011 ISSN: 09574174 SCI-Expanded
Prof. Dr. MEHMET ÇUNKAŞ →
A fuzzy clustering approach for finding similar documents using a novel similarity measure
2007 ISSN: 0957-4174 SCI-Expanded 22 atıf
Doç. Dr. KEMAL TÜTÜNCÜ →
A new approach on search for similar documents with multiple categories using fuzzy clustering
2008 ISSN: 0957-4174 SCI-Expanded
Doç. Dr. KEMAL TÜTÜNCÜ →
Organizational strategy development in distribution channel management using fuzzy AHP and hierarchical fuzzy TOPSIS
2012 ISSN: 09574174 SCI-Expanded
Prof. Dr. NİMET YAPICI PEHLİVAN →
Artificial neural network and fuzzy expert system comparison for prediction of performance and emission parameters on a gasoline engine
2011 ISSN: 09574174 SCI-Expanded
Prof. Dr. ŞAKİR TAŞDEMİR →
Artificial neural network and fuzzy expert system comparison for prediction of performance and emission parameters on a gasoline engine
2011 ISSN: 0957-4174 SCI-Expanded 4 atıf
Prof. Dr. MURAT CİNİVİZ →
Fuzzy expert system design for operating room air-condition control systems
2009 ISSN: 0957-4174 SCI-Expanded 29 atıf Q1
Prof. Dr. İSMAİL SARITAŞ →
Prognosis of prostate cancer by artificial neural networks
2010 ISSN: 0957-4174 SCI-Expanded 30 atıf Q1
Prof. Dr. İSMAİL SARITAŞ →
Prediction of diesel engine performance using biofuels with artificial neural network
2010 ISSN: 0957-4174 SCI-Expanded 53 atıf Q1
Prof. Dr. İSMAİL SARITAŞ →
The effects of fuzzy control of magnetic flux on magnetic filter performance and energy consumption
2010 ISSN: 0957-4174 SCI-Expanded 5 atıf Q1
Prof. Dr. İSMAİL SARITAŞ →
Artificial neural network and fuzzy expert system comparison for prediction of performance and emission parameters on a gasoline engine
2011 ISSN: 0957-4174 SCI-Expanded 24 atıf Q1
Prof. Dr. İSMAİL SARITAŞ →
Anesthetic gas control with neuro fuzzy system in anesthesia
2010 ISSN: 09574174 SCI-Expanded
Prof. Dr. RÜŞTÜ GÜNTÜRKÜN →
An Adaptive Network Based Fuzzy Inference System ANFIS for the prediction of stock market return The case of the Istanbul Stock Exchange
2010 ISSN: 09574174 SCI-Expanded
Prof. Dr. MELEK ACAR →
Predicting direction of stock price index movement using artificial neural networks and support vector machines The sample of the Istanbul Stock Exchange
2011 ISSN: 09574174 SCI-Expanded
Prof. Dr. MELEK ACAR →
Predicting bank financial failures using neural networks support vector machines and multivariate statistical methods A comparative analysis in the sample of savings deposit insurance fund SDIF transferred banks in Turkey
2009 ISSN: 09574174 SCI-Expanded
Prof. Dr. MELEK ACAR →
The design of ultrasonic therapy device via fuzzy logic
2011 ISSN: 09574174 SCI-Expanded
Öğr. Gör. SEMA YILDIRIM →
Assessment of exercise stress testing with artificial neural network in determining coronary artery disease and predicting lesion localization
2009 ISSN: 09574174 SCI-Expanded
Prof. Dr. NAZİF AYGÜL →
Design of a hybrid system for the diabetes and heart diseases
2008 ISSN: 0957-4174 SCI-Expanded 85 atıf Q1
Prof. Dr. HUMAR KAHRAMANLI ÖRNEK →
Makale Bilgileri
ISSN09574174
Yayın TarihiTemmuz 2008
Cilt / Sayfa35 · 82-89
Scopus ID2-s2.0-44949105491
Özet
Data can be classified according to their properties. Classification is implemented by developing a model with existing records by using sample data. One of the aims of classification is to increase the reliability of the results obtained from the data. Fuzzy and crisp values are used together in medical data. Regarding to this, a new method is presented for classification of data of a medical database in this study. Also a hybrid neural network that includes artificial neural network (ANN) and fuzzy neural network (FNN) was developed. Two real-time problem data were investigated for determining the applicability of the proposed method. The data were obtained from the University of California at Irvine (UCI) machine learning repository. The datasets are Pima Indians diabetes and Cleveland heart disease. In order to evaluate the performance of the proposed method accuracy, sensitivity and specificity performance measures that are used commonly in medical classification studies were used. The classification accuracies of these datasets were obtained by k-fold cross-validation. The proposed method achieved accuracy values 84.24% and 86.8% for Pima Indians diabetes dataset and Cleveland heart disease dataset, respectively. It has been observed that these results are one of the best results compared with results obtained from related previous studies and reported in the UCI web sites. © 2007.
Yazarlar (2)
1
Humar Kahramanli
2
Novruz Allahverdi
Anahtar Kelimeler
Backpropagation
Classification
Cleveland heart disease
Fuzzy neural network
k-fold cross-validation
Pima Indians diabetes
Kurumlar
Selçuk Üniversitesi
Selçuklu Turkey
Son Atıflar
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· 2025 · DOI
Scimago Dergi (ISSN Eşleşmesi)
Expert Systems with Applications
Q1
SJR Skoru1,854
H-Index290
YayıncıElsevier Ltd
ÜlkeUnited Kingdom
Artificial Intelligence (Q1)
Computer Science Applications (Q1)
Engineering (miscellaneous) (Q1)
Metrikler
373
Atıf
2
Yazar
6
Anahtar Kelime