Clinical Study
A Machine Learning Model as an Automatic Tool to Record Human Behavior
A machine learning model may automatically record a human's challenging behavior. Research is needed to learn the value of the model. We want to learn three specific things. 1) How well the model can track challenging behavior? 2) Can the model produce new information based on previous training? 3) How accurate and reliable the model can track challenging behavior based on the new information? The information we gain may aid future patients
For more information contact:
Aaron Fischer
aaron.fischer@utah.edu
801-587-1842
IRB#: IRB_00157027
| PI: Aaron Fischer
| Department: EDUCATIONAL PSYCHOLOGY
| Approval Date: 2022-08-30 17:44:00
Study Categories: Mental Health and Well-being Studies
| Specialties: Psychology
Who can participate?
Gender: All
Age: All Ages
Volunteers: Volunteers with special conditions
Location: In Person
Inclusion Criteria:
- Ages 4 to 18 years old
- Individuals with severe behavioral issues
- In person at the University of Utah
Exclusion Criteria:
- None
Will I be paid for my time?
No