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

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

Abstract Background Previous studies have developed the Migraine Aura Complexity Score (MACS) system. MACS shows great potential in studying the complexity of migraine with aura (MwA) pathophysiology especially when implemented in neuroimaging studies. The use of sophisticated machine learning (ML)...

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Bibliographic Details
Main Authors: Katarina Mitrović, Andrej M. Savić, Aleksandra Radojičić, Marko Daković, Igor Petrušić
Format: Article
Language:English
Published: BMC 2023-12-01
Series:The Journal of Headache and Pain
Subjects:
Artificial intelligence
Support vector machine
Machine learning
Magnetic resonance imaging
Migraine with Aura
Prediction, regression
Online Access:https://doi.org/10.1186/s10194-023-01704-z

Internet

https://doi.org/10.1186/s10194-023-01704-z

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