Open enrollment study to collect data for the optimization of machine learning models for use in an app for the early detection of mental health and suicidal risk.
Study Type
OBSERVATIONAL
Enrollment
2,000
Participants are asked a series of questions to elicit their feelings and emotions as part of an audio recorded interview along with their normal therapy session.
Clarigent Health
Mason, Ohio, United States
RECRUITINGDetection of Mental Health State
Optimize machine learning models will detect the presence of a mental state as evidenced by scores on standardized tests and clinical assessment.
Time frame: 1 year
Demonstrate the Usability of the platform
Demonstrate the usability of the MHSAFE recording platform and the dashboard output in different settings, including outpatient community mental health settings, schools (K-12), colleges/universities, and residential mental health facilities.
Time frame: 1 year
This platform is for informational purposes only and does not constitute medical advice. Always consult a qualified healthcare professional.