Detecting ADHD Through Machine Learning Public Deposited

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  • August 27, 2021
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  • Doyle, Ross
    • Affiliation: University of North Carolina at Chapel Hill
    • Other Affiliation: Mathematics, BS
Abstract
  • This longitudinal study is the search for underlying causes of ADHD in young childhood through the utilization of various neuroimaging techniques (such as EEG, fMRI). Differences in the participants’ brains are observed with the end goal being to identify neurological predictiors of ADHD in early childhood
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