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Use of Machine Learning to Identify Markers of Risk for Fragile X‐Associated Tremor/Ataxia Syndrome: A Preliminary Analysis
OBJECTIVE: The objective of this study was to examine whether machine learning has the capacity to prospectively identify and predict the emergence of Fragile X-associated tremor/ataxia syndrome (FXTAS) among male fragile X premutation carriers (PCs). METHODS: We explored neuropsychological and moto
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