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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 ...
Artificial intelligence methods offer objectivity and convenience in automatic depression detection, however, current research often neglects the critical role of facial landmarks. This oversight ...
Automatic Depression Detection (ADD) garners widespread attention due to its convenience and objectivity. While existing research makes significant progress, challenges remain. First, most current ADD ...
One of the primary causes of death globally, heart disease still affects millions of people; thus, early identification is very essential for efficient treatment. To meet the need for precise, ...
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 ...
Student mental health has emerged as a major global concern, with depression being a common problem that has a considerable influence on academic performance and personal well-being. This paper ...
Depression is a mental disorder that causes feelings of unhappiness and loss of interest. Depression is afflicting a significant portion of the world's kids and adults at the present time. Falls in ...
Healthcare fraud is a critical challenge, contributing significantly to rising healthcare costs and financial losses. This article proposes a hybrid architecture for healthcare fraud detection, ...
This study aims to detect depression by integrating machine learning with facial analysis. It features two main components: a ten-question multiple-choice questionnaire (MCQ) to assess depression ...
A brain tumor, also recognized as an intracranial tumor, develops as an anomalous mass of tissue wherein cells proliferate and multiply without restraint. Detection and classification of tumor in the ...
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 ...