Using Machine Learning to Optimize User Engagement and Clinical Response to Digital Mental Health Interventions

Launched by BOSTON UNIVERSITY CHARLES RIVER CAMPUS · Sep 30, 2022

Keywords

ClinConnect Summary

This clinical trial is studying how to improve mental health support by using digital programs designed for people dealing with anxiety and depression. Researchers want to find out which digital program works best for different individuals by using advanced technology called machine learning. This technology will help create personalized recommendations for selecting the most effective digital mental health interventions. The goal is to enhance the way these programs are delivered, making them more effective for users in a large healthcare setting.

To participate in this trial, you need to be an English-speaking adult, at least 18 years old, and have access to a device that can connect to the internet. If you join, you’ll try one of three well-researched digital mental health programs and help the researchers understand how these programs work and how engaged users are with them. This study aims to make digital mental health care more accessible and effective for everyone who needs it.

Gender

ALL

Eligibility criteria

• Inclusion Criteria:
• • English-speaking adults
• • Ages 18 or older
• • Have a device that can connect to the internet.