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Predicting Adhd Using Eye Gaze Metrics Indexing Working Memory Capacity, Anne M.P. Michalek, Gavindya Jayawardena, Sampath Jayarathna
Predicting Adhd Using Eye Gaze Metrics Indexing Working Memory Capacity, Anne M.P. Michalek, Gavindya Jayawardena, Sampath Jayarathna
Communication Disorders & Special Education Faculty Publications
ADHD is being recognized as a diagnosis that persists into adulthood impacting educational and economic outcomes. There is an increased need to accurately diagnose this population through the development of reliable and valid outcome measures reflecting core diagnostic criteria. For example, adults with ADHD have reduced working memory capacity (WMC) when compared to their peers. A reduction in WMC indicates attention control deficits which align with many symptoms outlined on behavioral checklists used to diagnose ADHD. Using computational methods, such as machine learning, to generate a relationship between ADHD and measures of WMC would be useful to advancing our understanding …