UVM KID Study: Behavioral and Physiological Data Detects Childhood Internalizing Disorders
Conference Year
2023
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.
Primary Faculty Mentor Name
Ellen McGinnis
Graduate Student Mentors
Bryn Loftness, Shania Prytherch
Status
Undergraduate
Student College
College of Arts and Sciences
Second Student College
College of Engineering and Mathematical Sciences
Program/Major
Computer Science
Primary Research Category
Clinical
UVM KID Study: Behavioral and Physiological Data Detects Childhood Internalizing Disorders
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.