Machine Learning

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.

Gender diverse individuals (i.e., identifying their gender as different from the sex assigned at birth) demonstrate higher rates of non-suicidal self-injury (NSSI) compared to other sexual and gender minority (SGM) populations.