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Machine Diagnostics and Machine Phenotyping of Migraine: A HUNT Study.

Neurology - 14 Jul 2026

Danelakis Antonios, Abildsnes Håkon Kvisle, Faisal Fahim, Bjørk Marte-Helene, Giles Dominic, Hagen Knut, Tjaṧa Kumelj, Matharu Manjit, Nachev Parashkev, Tronvik Erling, Winsvold Bendik S, Stubberud Anker

Abstract excerpt

BACKGROUND AND OBJECTIVES: In the absence of biomarkers, the true biological footprint of migraine remains incompletely understood. It could perhaps be best characterized using machine learning models of multimodal data. The aim of this study was to (1) develop diagnostic models of migraine using multimodal data and (2) identify data-driven migraine phenotypes. METHODS: This was a cross-sectional machine learning...

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Identifiers

PMID: 42302223
DOI: 10.1212/WNL.0000000000218076
PMCID: PMC13312936

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