Machine learning-based migraine analysis using retinal vessel diameters from optical coherence tomography: an alternative approach.

Orhanbulucu, FIRAT; Ünlü, Metin; Sevim, Duygu; Gültekin, Murat; Latifoğlu, Fatma

doi:10.1007/s10072-025-08462-7

Machine learning-based migraine analysis using retinal vessel diameters from optical coherence tomography: an alternative approach.

Orhanbulucu F., Ünlü M., Sevim D. G., Gültekin M., Latifoğlu F.

Neurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology, cilt.46, sa.12, ss.6651-6659, 2025 (SCI-Expanded, Scopus)

Yayın Türü: Makale / Tam Makale
Cilt numarası: 46 Sayı: 12
Basım Tarihi: 2025
Doi Numarası: 10.1007/s10072-025-08462-7
Dergi Adı: Neurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology
Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Scopus, Academic Search Premier, BIOSIS, CINAHL, Index Islamicus, MEDLINE, Psycinfo
Sayfa Sayıları: ss.6651-6659
Anahtar Kelimeler: Boosting algorithms, Machine learning, Migraine, Optical coherence tomography, Retinal vessel diameters
İnönü Üniversitesi Adresli: Evet