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doi: 10.1038/s41598-019-50110-6

This study evaluates machine learning (ML) models in differentiating ischemic stroke (IS) from hemorrhagic stroke (HS) and classifying IS subtypes using integrated genomic, proteomic, transcriptomic, microRNA, and neuroimaging data (CT and MRI)

This is especially relevant in cases of spinal segmental myoclonus, manifested by rhythmic, jerk-like contractions of muscles (or other dyskinesias, such as rotatory movement of the scapula or belly dancer dyskinesia) innervated by cervical, thoracic or lumbar roots

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