Machine learning identifies factors most associated with seeking medical care for migraine: Results of the OVERCOME (US) study

Keyphrases

• Machine Learning 100%
• Migraine 100%
• Seeking Medical Care 100%
• Seeking Care 40%
• Interictal Burden 26%
• Allodynia 20%
• Medical Care 13%
• Least Absolute Shrinkage and Selection Operator (LASSO) 13%
• Ictal 13%
• Severe Migraine 13%
• Migraine-related Disability 13%
• Healthcare Professionals 6%
• Disability 6%
• Multivariable 6%
• Clinical Factors 6%
• Primary Care 6%
• US Adults 6%
• Specialty Care 6%
• Cause of Disability 6%
• Model Complex 6%
• Adult Population 6%
• Machine Learning Models 6%
• Epidemiology 6%
• Headache 6%
• Predictor Variables 6%
• Random Forest Regression 6%
• Random Forest Machine Learning 6%
• Health Insurance 6%
• Symptom Checklist-90 (SCL-90) 6%
• Care-seeking 6%
• Medical Diagnosis 6%
• Feature Selection Methods 6%
• Web-based Survey 6%
• Supervised Machine Learning 6%
• Urgent Care 6%
• Diagnostic Questionnaire 6%
• Observational Survey 6%
• Cutaneous Allodynia 6%
• Telephone Visit 6%
• Support Interventions 6%
• Burden Scale 6%
• Migraine Disability Assessment 6%
• Efficient Features 6%
• E-visit 6%

Medicine and Dentistry

• Medical Care 100%
• Migraine 100%
• Allodynia 23%
• Diagnosis 11%
• Ictal 11%
• Symptom 5%
• Consultation 5%
• Checklist 5%
• Primary Health Care 5%
• Cohort Effect 5%
• Headache 5%
• Urgent Care 5%
• MIDAS (Migraine) 5%