Results 1 to 10 of about 2,418 (73)
<b>HEALTH ISSUE</b>: Depression causes significant distress or impairment in physical, social, occupational and other key areas of functioning. Women are approximately twice as likely as men to experience depression. Psychosocial factors likely mediate the risks for depression incurred by biological influences.
Stewart, Donna E+2 more
openaire +7 more sources
Climate and Weather: Inspecting Depression Detection via Emotion Recognition [PDF]
Automatic depression detection has attracted increasing amount of attention but remains a challenging task. Psychological research suggests that depressive mood is closely related with emotion expression and perception, which motivates the investigation of whether knowledge of emotion recognition can be transferred for depression detection.
arxiv +1 more source
Depression is a common and important cause of morbidity and mortality worldwide. It is commonly treated with antidepressants and/or psychological therapy, but some people prefer alternative approaches such as exercise. There are a number of theoretical reasons why exercise may improve depression. This is an update of a review first published in 2009.
Cooney, G. M.+7 more
openaire +8 more sources
Is it depression or is it bipolar depression?
ABSTRACTThis review is intended to guide primary care providers in differentiating patients with bipolar depression from those with unipolar depression and inform patient management. Up to 64% of clinical encounters for depression occur in primary care, with misdiagnosis of bipolar depression common in both primary care and psychiatry. Although bipolar
Donna Rolin+2 more
openaire +4 more sources
Shorter duration of slow wave sleep is related to symptoms of depression in patients with epilepsy [PDF]
Slow wave sleep duration and spectral abnormalities are related to both epilepsy and depression, but it is unclear how depressive symptoms in patients with epilepsy are affected by slow wave sleep duration and clinical factors, and how the spectral characteristics of slow wave sleep reflect a potential interaction of epilepsy and depression.
arxiv +1 more source
A Study on the Performance of Generative Pre-trained Transformer (GPT) in Simulating Depressed Individuals on the Standardized Depressive Symptom Scale [PDF]
Background: Depression is a common mental disorder with societal and economic burden. Current diagnosis relies on self-reports and assessment scales, which have reliability issues. Objective approaches are needed for diagnosing depression. Objective: Evaluate the potential of GPT technology in diagnosing depression.
arxiv
Non-verbal Facial Action Units-based Automatic Depression Classification [PDF]
Depression is a common mental disorder that causes people to experience depressed mood, loss of interest or pleasure, feelings of guilt or low self-worth. Traditional clinical depression diagnosis methods are subjective and time consuming. Since depression can be reflected by human facial expressions, We propose a non-verbal facial behavior-based ...
arxiv
Automatic Depression Detection: An Emotional Audio-Textual Corpus and a GRU/BiLSTM-based Model [PDF]
Depression is a global mental health problem, the worst case of which can lead to suicide. An automatic depression detection system provides great help in facilitating depression self-assessment and improving diagnostic accuracy. In this work, we propose a novel depression detection approach utilizing speech characteristics and linguistic contents from
arxiv
Bursting with depression [PDF]
Upregulated bursting activity in the lateral habenula is associated with depression-like behaviours in rats and mice, and depends on NMDA receptors, T-type voltage-sensitive calcium channels and the astrocytic inwardly rectifying potassium channel KIR4.1.
openaire +3 more sources
Two-stage Temporal Modelling Framework for Video-based Depression Recognition using Graph Representation [PDF]
Video-based automatic depression analysis provides a fast, objective and repeatable self-assessment solution, which has been widely developed in recent years. While depression clues may be reflected by human facial behaviours of various temporal scales, most existing approaches either focused on modelling depression from short-term or video-level ...
arxiv