A novel wearable consumer electronics device for detecting Major Depressive Disorder (MDD) has been developed using deep learning techniques for smart healthcare. Accurate identification of MDD ...

Moreover, we impose an attention mechanism on various embeddings to obtain a multimodal compact representation for the subsequent MDD detection task. We conduct extensive experiments on two public ...

According to a study published in the Journal of Medical Internet Research, individuals with depression are more likely to use language indicative of sadness, loneliness, and negative emotions on ...

In order to solve the problems of limited ability of extracting local information and excessive parameters in the diagnosis model of major depression (MDD), an image depression recognition algorithm ...

Depression is a rising global health issue, particularly among adolescents, with university students facing distinct mental health challenges. This proof-of-concept study explores smartphone ...

We adopted a diverse spectrum of machine learning algorithms, encompassing LightGBM, XGBoost, and AdaBoost, to construct the models and selected the best-performing model as the depression risk ...

Our paper proposes a multi-model approach for depression detection, utilizing facial expression analysis, audio evaluation, and user text input through deep learning algorithms, alongside an ...

Depression is a mood disorder that causes a persistent feeling of sadness and loss of interest. Also called major depressive disorder or clinical depression, it affects how you feel, think, and behave ...

Using a novel lab method they developed, McGill University researchers have identified nine molecules in the blood that were elevated in teens diagnosed with depression.