Explainable machine learning reveals threshold associations and distinct phenotypes linking migraine features to white matter hyperintensities in women with episodic migraine.
- DOI
- 10.1186/s10194-026-02488-8
- Published
- 2026 Aug 4
- Container
- The journal of headache and pain
- Publisher
- Not recorded
- Open access
- yes
Credibility signals
limited evidence Score 45/100 under policy 1.0.0. This is a metadata assessment, not a judgment of the paper's conclusions.
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Cite this work
BibTeX
@article{allodium:10.1186/s10194-026-02488-8,
title = {Explainable machine learning reveals threshold associations and distinct phenotypes linking migraine features to white matter hyperintensities in women with episodic migraine.},
author = {Yang Q and Deng S and Qin J and Wang HH and Cheung K and Xie YJ},
year = {2026},
journal = {The journal of headache and pain},
doi = {10.1186/s10194-026-02488-8},
url = {https://doi.org/10.1186/s10194-026-02488-8}
}RIS
TY - JOUR TI - Explainable machine learning reveals threshold associations and distinct phenotypes linking migraine features to white matter hyperintensities in women with episodic migraine. AU - Yang Q AU - Deng S AU - Qin J AU - Wang HH AU - Cheung K AU - Xie YJ PY - 2026 JO - The journal of headache and pain DO - 10.1186/s10194-026-02488-8 UR - https://doi.org/10.1186/s10194-026-02488-8 ER -
APA
Q, Y., S, D., J, Q., HH, W., K, C., & YJ, X. (2026). Explainable machine learning reveals threshold associations and distinct phenotypes linking migraine features to white matter hyperintensities in women with episodic migraine.. The journal of headache and pain. https://doi.org/10.1186/s10194-026-02488-8
Source records
- pubmed · retrieved 2026-11-10T12:24:35.710Z