An ICA-based model on EHR data identified latent factors associated with 10-year cryptogenic stroke risk in migraine patients, with allergic rhinitis emerging as a candidate cause and medications as protective.
An evidence-based causative classification system for acute ischemic stroke
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Cryptogenic stroke and migraine: using probabilistic independence and machine learning to uncover latent sources of disease from the electronic health record
An ICA-based model on EHR data identified latent factors associated with 10-year cryptogenic stroke risk in migraine patients, with allergic rhinitis emerging as a candidate cause and medications as protective.