Machine learning classification meets migraine: recommendations for study evaluation
Abstract The integration of machine learning (ML) classification techniques into migraine research has offered new insights into the pathophysiology and classification of migraine types and subtypes. However, inconsistencies in study design, lack of methodological transparency, and the absence of ex...
Saved in:
Main Authors: | Igor Petrušić, Andrej Savić, Katarina Mitrović, Nebojša Bačanin, Gabriele Sebastianelli, Daniele Secci, Gianluca Coppola |
---|---|
Format: | Article |
Language: | English |
Published: |
BMC
2024-12-01
|
Series: | The Journal of Headache and Pain |
Subjects: | |
Online Access: | https://doi.org/10.1186/s10194-024-01924-x |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Correction: Machine learning classification meets migraine: recommendations for study evaluation
by: Igor Petrušić, et al.
Published: (2024-12-01) -
The epidemiology and unmet need of migraine in five european countries: results from the national health and wellness survey
by: Gianluca Coppola, et al.
Published: (2025-01-01) -
Vestibular migraine
by: Santosh Kumar Swain, et al.
Published: (2021-01-01) -
Development and validation of a diagnostic model for migraine without aura in inpatients
by: Zhu-Hong Chen, et al.
Published: (2025-01-01) -
Episodic and chronic migraine - treatment and risk factors - A literature review
by: Jakub Skrzypek, et al.
Published: (2024-12-01)