A Head-to-Head Comparison of the Patient Health Questionnaire-2 Versus Complex Machine Learning Approaches
Brief, feasible screening remains central to suicide risk assessment in clinical practice. This activity, based on a study published in The Journal of Clinical Psychiatry, compares the PHQ-2 sum score with machine learning models of increasing complexity for predicting suicidal ideation in US veterans. It addresses the interpretation of brief screening results and their integration into clinical workflows with a defined follow-up pathway.
