AIMC Topic: Migraine Disorders

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Automatic migraine classification via feature selection committee and machine learning techniques over imaging and questionnaire data.

BMC medical informatics and decision making Apr 13, 2017
BACKGROUND: Feature selection methods are commonly used to identify subsets of relevant features to facilitate the construction of models for classification, yet little is known about how feature selection methods perform in diffusion tensor images (...
Male Diffusion Tensor Imaging Middle Aged Female Pattern Recognition, Automated Adult Machine Learning Neuropsychological Tests Headache Algorithms Humans Advisory Committees Support Vector Machine Emotions Migraine Disorders Diagnosis, Computer-Assisted Surveys and Questionnaires
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Understanding migraine using dynamic network biomarkers.

Cephalalgia : an international journal of headache Sep 16, 2014
BACKGROUND: Mathematical modeling approaches are becoming ever more established in clinical neuroscience. They provide insight that is key to understanding complex interactions of network phenomena, in general, and interactions within the migraine-ge...
Migraine Disorders Biomarkers Humans Models, Theoretical Comprehension Neural Networks, Computer
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Multidimensional Feature Analysis of Meniere's Disease and Vestibular Migraine: Insights from Machine Learning and Vestibular Testing.

Journal of the Association for Research in Otolaryngology : JARO Jun 1, 2025
OBJECTIVE: Differentiating between Meniere's disease (MD) and vestibular migraine (VM) is challenging due to overlapping symptoms and limited diagnostic tools. Traditional statistical methods often rely on physician judgment and struggle with complex...
Adult Male Diagnosis, Differential Female Meniere Disease Middle Aged Machine Learning Vestibular Function Tests Aged Migraine Disorders Humans Retrospective Studies
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An evolving machine-learning-based algorithm to early predict response to anti-CGRP monoclonal antibodies in patients with migraine.

Cephalalgia : an international journal of headache Dec 1, 2024
BACKGROUND: The present study aimed to determine whether machine-learning (ML)-based models can predict 3-, 6, and 12-month responses to the monoclonal antibodies (mAbs) against the calcitonin gene-related peptide (CGRP) or its receptor (anti-CGRPmAb...
Machine Learning Algorithms Humans Adult Male Middle Aged Prospective Studies Female Calcitonin Gene-Related Peptide Calcitonin Gene-Related Peptide Receptor Antagonists Migraine Disorders Cohort Studies Treatment Outcome Antibodies, Monoclonal
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[Digitization in the diagnosis and treatment of headache].

MMW Fortschritte der Medizin Nov 1, 2024
In recent years, machine learning, particularly Natural Language Processing, has emerged as a valuable tool for analyzing unstructured health data, such as headache anamneses. Studies demonstrate that algorithms can identify specific patterns and aut...
Headache Humans Machine Learning Migraine Disorders Natural Language Processing Algorithms
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A Unique Signature of Cardiac-Induced Cranial Forces During Acute Large Vessel Stroke and Development of a Predictive Model.

Neurocritical care Aug 1, 2020
BACKGROUND: Cranial accelerometry is used to detect cerebral vasospasm and concussion. We explored this technique in a cohort of code stroke patients to see whether a signature could be identified to aid in the diagnosis of large vessel occlusion (LV...
Pulsatile Flow Ballistocardiography Computed Tomography Angiography Cerebral Angiography Humans Tomography, X-Ray Computed Female Machine Learning Electrocardiography Migraine Disorders Infarction, Middle Cerebral Artery Accelerometry Ischemic Stroke Aged Aged, 80 and over Male Middle Aged
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