Prediction of new-onset migraine using clinical-genotypic data from the HUNT Study: a machine learning analysis.

Journal: The journal of headache and pain
PMID: 40197205

Abstract

BACKGROUND: Migraine is associated with a range of symptoms and comorbid disorders and has a strong genetic basis, but the currently identified risk loci only explain a small portion of the heritability, often termed the "missing heritability". We aimed to investigate if machine learning could exploit the combination of genetic data and general clinical features to identify individuals at risk for new-onset migraine.

Authors

  • Fahim Faisal
    Department of EEE, Islamic University of Technology, Gazipur, Bangladesh.
  • Antonios Danelakis
    NorHead Norwegian Centre for Headache Research, NTNU Norwegian University of Science and Technology, 7030, Trondheim, Norway.
  • Marte-Helene Bjørk
    NorHead Norwegian Centre for Headache Research, Trondheim, Norway.
  • Bendik Winsvold
    Norhead Norwegian Centre for Headache Research, NTNU Norwegian University of Science and Technology, Trondheim, Norway.
  • Manjit Matharu
    NorHead Norwegian Centre for Headache Research, NTNU Norwegian University of Science and Technology, 7030, Trondheim, Norway.
  • Parashkev Nachev
    Institute of Neurology, University College London, London, WC1N 3BG, UK.
  • Knut Hagen
    Norhead Norwegian Centre for Headache Research, NTNU Norwegian University of Science and Technology, Trondheim, Norway.
  • Erling Tronvik
    NorHead Norwegian Centre for Headache Research, NTNU Norwegian University of Science and Technology, 7030, Trondheim, Norway.
  • Anker Stubberud
    NorHead Norwegian Centre for Headache Research, NTNU Norwegian University of Science and Technology, 7030, Trondheim, Norway.

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