Application of an adaptive neuro-fuzzy inference system for classification of Behcet disease using the fast Fourier transform method
Yükleniyor...
Tarih
2007
Yazarlar
Dergi Başlığı
Dergi ISSN
Cilt Başlığı
Yayıncı
Blackwell Publishing
Erişim Hakkı
info:eu-repo/semantics/closedAccess
Özet
In this study, ophthalmic arterial Doppler signals were obtained from 200 subjects, 100 of whom suffered from ocular Behcet disease while the rest were healthy subjects. An adaptive neuro-fuzzy inference system (ANFIS) was used to detect the presence of ocular Behcet disease. Spectral analysis of the ophthalmic arterial Doppler signals was performed by the fast Fourier transform method for determining the ANFIS inputs. The ANFIS was trained with a training set and tested with a testing set. All these data sets were obtained from ophthalmic arteries of healthy subjects and subjects suffering from ocular Behcet disease. Performance indicators and statistical measures were used for evaluating the ANFIS. The correct classification rate was 94% for healthy subjects and 90% for unhealthy subjects suffering from ocular Behcet disease. The classification results showed that the ANFIS was effective at detecting ophthalmic arterial Doppler signals from subjects with Behcet disease.
Açıklama
BARISCI, Necaattin/0000-0002-8762-5091
Anahtar Kelimeler
Doppler signal, ophthalmic artery, Behcet disease, fast Fourier transform, adaptive neuro-fuzzy inference system
Kaynak
Expert Systems
WoS Q Değeri
Q4
Scopus Q Değeri
Q1
Cilt
24
Sayı
2
Künye
closedAccess
