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UVM KID Study: Behavioral and Physiological Data Detects Childhood Internalizing Disorders

Alaska, Jenny
Kopelson, Mia
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Abstract
The UVM KID Study aims to develop and incorporate digital technology for diagnostic assessments of internalizing disorders in children. Children complete tasks meant to induce mood responses while their data is collected via wearable digital devices and biosensors. While the study requires specialized equipment and meticulous procedures, it has been found to predict internalizing disorders with 75-80% accuracy. Currently, mental health diagnoses are subjective and often inaccessible. This study intends to utilize objective and quantifiable data in diagnoses to strengthen the current screening approaches. The pros and cons of the use of objective biomarkers in clinical assessment will be analyzed.
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Date
2023-01-01
Student Status
Undergraduate
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Poster Presentation
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Program/Major
Computer Science
College/School
College of Engineering and Mathematical Sciences
College of Arts and Sciences
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Clinical
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