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Statistical models show rhythmicity of seizures likely changes with age and common triggers
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Statistical models show rhythmicity of seizures likely changes with age and common triggers

by Mike Williams, Rice University An illustration shows how an electronic diary by patients with epilepsy correlates “attractors” like new medications or illnesses with seizures over time. A study by statisticians at Rice University and the University of California, San Francisco formalizes a process by which patient and doctors might better recognize the signs of...