Taking All the Factors We Need: A Multimodal Depression Classification With Uncertainty Approximation

Depression and anxiety are prevalent mental illnesses that are frequently disregarded. It is estimated that more than 5% of the population suffers from depression or anxiety. Although there have been a number of influential studies in these fields, the majority of the research focuses on one or two factors for detection purposes, whereas these factors are not mutually inclusive and vary among studies. To mitigate these issues, we must first consider all possible symptoms associated with depression and develop a multimodal diagnosis system that may take into account any number of patient-specific factors. If multiple factors can be addressed within a single learning model, it is advantageous for data collection and future development. To facilitate training with missing modalities, we…