Results 81 to 90 of about 2,704,449 (214)
Data set creation and empirical analysis for detecting signs of depression from social media postings [PDF]
arXiv, 2022 Depression is a common mental illness that has to be detected and treated at an early stage to avoid serious consequences. There are many methods and modalities for detecting depression that involves physical examination of the individual. However, diagnosing mental health using their social media data is more effective as it avoids such physical ...
arxiv
Frontiers in Psychology, 2019 The current study investigated the comprehension of mindfulness-based cognitive behavioral therapy (MBCT) by patients with resistant depression at the Psychiatry Institute of the Federal University of Rio de Janeiro, Brazil.
Michele F. Rodrigues +7 more
doaj +1 more source
The Benefits of Physical Activity on Depression [PDF]
, 2020 Physical exercise can be an effective counter-measure against depression. Activity need not be strenuous and it may reduce the risk for depression, even among those with a family history or genetic disposition for depression. And depression in itself may
Ansello, Edward F.
core +1 more source
Risk assessment and predicting outcomes in patients with depressive symptoms: a review of potential role of peripheral blood based biomarkers [PDF]
, 2015 Depression is one of the major global health challenges and a leading contributor of health related disability and costs. Depression is a heterogeneous disorder and current methods for assessing its severity in clinical practice rely on symptom count ...
Barry, Sarah J.E. +6 more
core +3 more sources
HiQuE: Hierarchical Question Embedding Network for Multimodal Depression Detection [PDF]
Proceedings of the 33rd ACM International Conference on
Information and Knowledge Management (CIKM '24), October 21-25, 2024, Boise,
ID, USAThe utilization of automated depression detection significantly enhances early intervention for individuals experiencing depression. Despite numerous proposals on automated depression detection using recorded clinical interview videos, limited attention has been paid to considering the hierarchical structure of the interview questions.
arxiv +1 more source
DECK: Behavioral Tests to Improve Interpretability and Generalizability of BERT Models Detecting Depression from Text [PDF]
arXiv, 2022 Models that accurately detect depression from text are important tools for addressing the post-pandemic mental health crisis. BERT-based classifiers' promising performance and the off-the-shelf availability make them great candidates for this task. However, these models are known to suffer from performance inconsistencies and poor generalization.
arxiv
Translational PsychiatryTrauma-related intrusive memories (TR-IMs) are hallmark symptoms of posttraumatic stress disorder (PTSD), but their neural correlates remain partly unknown.
Quentin Devignes +8 more
doaj +1 more source
The Role of Mindfulness and Self Compassion Toward Depression Among Pregnant Women [PDF]
, 2018 Pregnant women tend to experience depression during pregnancy. This can affect mothers and babies' health widely. Previous research has found that mindfulness and self-compassion can reduce depression in pregnant women in abroad, but it still no specific
Chairunnisa, A. (Alfira) +2 more
core +3 more sources
Symptoms of Depression But Not Depressive Disorder
Journal of the American College of Cardiology, 2011 I thank Hoen et al. ([1][1]) and the Heart and Soul Study for drawing attention to the psychological factors that co-occur with and influence cardiovascular (CV) disease. Hoen et al. ([1][1]) reported exciting results with individual symptoms predicting CV events.
openaire +2 more sources
Journal of Affective Disorders Reports, 2021 Objective: Both cognitive behavioral therapy for depression (CBT-D) combined with brief motivational interviewing (CBT-D+BMI) and alone are associated with symptom improvement among college students with co-occurring depression and heavy episodic ...
Joshua E. Curtiss +6 more
doaj