Developing a Neurocare Framework for Migraine Management

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Priya R L
Gresha Bhatia
Dr. Bindu Menon
Tanvi Naik
Sanika Hadap
Ajay Iyer
Arya Banavali

Abstract

Migraine, a neurological disorder impacting over one billion people worldwide, leads to debilitating headaches and diminished quality of life. Existing mobile applications and machine learning (ML) models offer some support for migraine management but often lack comprehensive care, real-time insights, and essential assessment tools like the MIDAS questionnaire. Current solutions are also limited in tracking triggers and capturing complete patient histories, highlighting the need for a more holistic approach. This review evaluates 20 migraine-focused applications(14 mobile and 6 web-based) and 13 ML/deep learning (DL) studies, identifying key limitations and paving the way for improved solutions. In response, NeuroCare, a prototype app, provides validated MIDAS assessments, personalized tracking for symptoms and triggers, detailed migraine logs, and electronic health record (EHR) displays for healthcare providers. This study demonstrates NeuroCare’s potential as a comprehensive tool with future AI/ML integrations, benefiting both patients and clinicians in effectively managing migraines.

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