Attention-based convolutional neural network and long short-term memory for short-term detection of mood disorders based on elicited speech responses

Mood disorders, including unipolar depression (UD) and bipolar disorder (BD), have become some of the commonest mental health disorders. The absence of diagnostic markers of BD can cause misdiagnosis of the disorder as UD on initial presentation. Short-term detection, which could be used in early detection and intervention, is desirable. This study proposed an approach for short-term detection of mood disorders based on elicited speech...