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, vol.46, no.12, pp.6651-6659, 2025 (SCI-Expanded, Scopus)

• Publication Type: Article / Article
• Volume: 46 Issue: 12
• Publication Date: 2025
• Doi Number: 10.1007/s10072-025-08462-7
• Journal Name: Neurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology
• Journal Indexes: Science Citation Index Expanded (SCI-EXPANDED), Scopus, Academic Search Premier, BIOSIS, CINAHL, Index Islamicus, MEDLINE, Psycinfo
• Page Numbers: pp.6651-6659
• Keywords: Boosting algorithms, Machine learning, Migraine, Optical coherence tomography, Retinal vessel diameters
• Inonu University Affiliated: Yes