Results 141 to 150 of about 777,245 (290)
Explainable AI for Mental Disorder Detection via Social Media: A survey and outlook [PDF]
Mental health constitutes a complex and pervasive global challenge, affecting millions of lives and often leading to severe consequences. In this paper, we conduct a thorough survey to explore the intersection of data science, artificial intelligence, and mental healthcare, focusing on the recent developments of mental disorder detection through online
arxiv
RAPIDLY PROGRESSIVE CEREBRAL DEGENERATION (SUBACUTE VASCULAR ENCEPHALOPATHY) WITH MENTAL DISORDER, FOCAL DISTURBANCES, AND MYOCLONIC EPILEPSY [PDF]
D. P. Jones, S. Nevin
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Automated Music Therapy for Anxiety and Depression Management in Older People (AMITY) [PDF]
The onset of old age brings physiological and mental changes, with anxiety and depression being common mental disorders that can trigger other health issues and reduce lifespan. However, due to a global shortage of mental health professionals, combined with a growing population and limited awareness, these disorders often go undiagnosed.
arxiv
The prevalence of neurologically asymptomatic CSVD is common in the nondiabetic population. Glycated hemoglobin A1c correlated with periventricular white matter hyperintensities. Fasting blood glucose was associated with deep cerebral microbleeds. Better control of blood glucose may have a beneficial effect on reducing the risk of CSVD.
Xinxin Ma+7 more
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The effects of coloring therapy on patients with generalized anxiety disorder
After the intervention, there were statistical differences intra‐and‐inter group comparisons of anxiety, depression, and positive and negative mood scales in the experimental and control groups (p < .05). The minus in anxiety/positive emotions pre‐and‐post intervention in the experimental group was statistically significant compared to the minus in ...
Bosomtwe Samuel+6 more
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An analytical study was carried out by secondary analysis of a database of a study performed between 2010 and 2015 at the Naval Medical Center of Peru (CEMENA). the analysis revealed that depressive symptoms, polypharmacy, slow gait speed, education, and marital status were significant contributors to anxiety in this population.
Gianella Grajeda‐León+7 more
wiley +1 more source
This study, utilizing two large‐cohort datasets, employs interpretable neural networks. It demonstrates that incorporating brain morphology and functional and structural networks enhances predictive accuracy for general psychopathology and its dimensions.
Jing Xia, Nanguang Chen, Anqi Qiu
wiley +1 more source
Algorithmically Enhanced Wearable Multimodal Emotion Sensor
This study presents a fully printed, organic wearable sensor for multimodal emotion sensing by noninvasively monitoring physiological indicators like physiological pulse, breathing patterns, and voice signatures. Using LSTM networks and Q‐learning, the system achieves over 91% accuracy, offering a pathway to understanding complex emotions and enhancing
Anand Babu+4 more
wiley +1 more source
Background Weight gain and metabolic disorders are commonly induced by antipsychotics. Orlistat is a lipase inhibitor used for weight control. The effect of orlistat on weight gain and metabolic disturbances in people (especially women) treated with ...
Peng Xie+9 more
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MENTAL AND NERVOUS DISORDERS ASSOCIATED WITH PELLAGRA [PDF]
H. DOUGLAS SINGER
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