ArticleNeurology2020
Are machine learning approaches the future to study patients with migraine?
Article in Neurology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
9 citing papers in PubMed.
- Cerebral morphometric alterations predict the outcome of migraine diagnosis and subtyping: a radiomics analysis.BMC medical imaging · 2025Article
- Migraine aura discrimination using machine learning: an fMRI study during ictal and interictal periods.Medical & biological engineering & computing · 2024Article
- Brain connectome-based imaging markers for identifiable signature of migraine with and without aura.Quantitative imaging in medicine and surgery · 2024Article
- Searching for the Predictors of Response to BoNT-A in Migraine Using Machine Learning Approaches.Toxins · 2023Article
- Migraine with aura detection and subtype classification using machine learning algorithms and morphometric magnetic resonance imaging data.Frontiers in neurology · 2023Article
- Cerebral blood flow alterations in migraine patients with and without aura: An arterial spin labeling study.The journal of headache and pain · 2022Article
- Resting-state magnetoencephalographic oscillatory connectivity to identify patients with chronic migraine using machine learning.The journal of headache and pain · 2022Article
- Predicting response to tVNS in patients with migraine using functional MRI: A voxels-based machine learning analysis.Frontiers in neuroscience · 2022Article
- Headache Medicine Grand Challenge: Headache: A New Frontier, A New Challenge.Frontiers in pain research (Lausanne, Switzerland) · 2021Article
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Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
PubMed holds no abstract for this paper.
Indexed as
Identifiers
31964692What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.