Machine Learning Research on Depression Assessment: A Narrative Review of Physiological, Behavioral, and Multimodal Approaches
Depression has become an important target of machine learning research because conventional assessment often depends on intensive clinician-patient interaction and may be influenced by subjectivity. This narrative review examines recent studies on depression assessment from three major perspectives: physiological signa...