Machine learning approach for Migraine Aura Complexity Score prediction based on magnetic resonance imaging data

ConclusionsThe SVM algorithm demonstrated the best potential in average MACS prediction when using a wrapper feature selection methodology. The proposed method achieved promising results in determining MwA complexity, which can provide a basis for future MwA studies and the development of MwA diagnosis and treatment.

http://link.springer.com/10.1186/s10194-023-01704-z

Source: The Journal of Headache and Pain - December 18, 2023 Category: Neurology Source Type: research