PHQ-V/GAD-V: Assessments to Identify Signals of Depression and Anxiety from Patient Video Responses

Mental health issues are a growing problem worldwide, and their detection can be complicated. Assessments such as the Patient Health Questionnaire (PHQ-9) Generalized Anxiety Disorder (GAD-7) questionnaire useful tools for detecting depression anxiety, however, due to being self-reported, patients may underestimate own risk. To address this problem, two new assessments introduced, i.e., PHQ-V GAD-V, that utilize open-ended video questions adapted from PHQ-9 GAD-7 assessments. These video-based analyze language, audio, facial features by applying recent work in machine learning, namely pre-trained transformer networks, provide an additional source of information risk illness. The GAD-V adept at predicting original scores. Analysis errors shows they detect anxiety even cases where self-reported fail do so. valuable set help anxiety.