In this project, we constructed an ML pipeline that predicted changes in the overall severity of depression symptoms in adolescents with high symptoms over a three-month period. We computed the residuals from a linear regression model, predicting the 3-month depression sum score based on the baseline depression sum score.
Objective
Rural teens are less likely to access care for depression than urban teens. Evidence-based digital single-session interventions (SSIs), offered via social media advertisements, may be well-suited to narrowing this gap in treatment access and increasing rural adolescents’ access to support.
In the United States, the experience of minority stress among LGBTQ+ youth varies across regions with high or low levels of stigma (e.g., laws, policies and cultural norms that limit the lives of individuals with stigmatized identities).