Advancing toward precision migraine treatment: Predicting responses to preventive medications with machine learning models based on patient and migraine features.

Journal: Headache
PMID:

Abstract

OBJECTIVE: To develop machine learning models using patient and migraine features that can predict treatment responses to commonly used migraine preventive medications.

Authors

  • Chia-Chun Chiang
  • Todd J Schwedt
    Department of Neurology, Mayo Clinic, Scottsdale, Arizona, United States of America.
  • Gina Dumkrieger
    Department of Neurology, Mayo Clinic, Phoenix, Arizona, USA.
  • Liguo Wang
    Laboratory for BioMolecular Structure (LBMS), Brookhaven National Laboratory, Upton, NY 11973, USA.
  • Chieh-Ju Chao
    Department of Radiology, Radiology Informatics Lab, Mayo Clinic, Rochester, MN 55905, United States.
  • Heather A Ouellette
    Department of Information Technology, Mayo Clinic, Rochester, Minnesota, USA.
  • Imon Banerjee
    Mayo Clinic, Department of Radiology, Scottsdale, AZ, USA.
  • Yi-Chieh Chen
    Department of Pharmacy, Mayo Clinic, Rochester, Minnesota, USA.
  • Brandon M Jones
    Department of Neurology, Mayo Clinic, Rochester, Minnesota, USA.
  • Krista M Burke
    Department of Neurology, Mayo Clinic, Rochester, Minnesota, USA.
  • Han Wang
    Saw Swee Hock School of Public Health, National University Health System, National University of Singapore, Singapore.
  • Ann M Murray
    Department of Neurology, Mayo Clinic, Rochester, Minnesota, USA.
  • Monique M Montenegro
    Department of Neurology, University of Minnesota, Minneapolis, Minnesota, USA.
  • Jennifer I Stern
    Department of Neurology, Mayo Clinic, Rochester, Minnesota, USA.
  • Mark Whealy
    Department of Neurology, Mayo Clinic, Rochester, Minnesota, USA.
  • Narayan Kissoon
    Department of Neurology, Mayo Clinic, Rochester, Minnesota, USA.
  • Fred M Cutrer
    Department of Neurology, Mayo Clinic, Rochester, Minnesota, USA.