Machine Learning-Driven Models for Predictive Diagnosis of Depression and Anxiety in Clinical Settings
Timely and accurate identification of depressive and anxiety disorders has been a perennial problem with clinical settings because of their nonspecific manifestation and dynamic patterns of symptoms. This paper presents a Multimodal Temporal Evidential Graph Transformer (MTEGT), a single deep learning platform that is...