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Browsing by Subject "mental health"

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Improving mental well-being in psychocardiology—a feasibility trial for a non-blended web application as a brief metacognitive-based intervention in cardiovascular disease patients

Larionov, Katharina; Petrova, Ekaterina; Demirbuga, Nurefsan; Werth, Oliver; Breitner, Michael H.; Gebhardt, Philippa; Caldarone, Flora; Duncker, David; Westhoff-Bleck, Mechthild; Sensenhauser, Anja; Maxrath, Nadine; Marschollek, Michael; Kahl, Kai G.; Heitland, Ivo (Lausanne : Frontiers Research Foundatio, 2023)

Background: Many patients with cardiovascular disease also show a high comorbidity of mental disorders, especially such as anxiety and depression. This is, in turn, associated with a decrease in the quality of life. ...
Moderators of Perceived Effort in Adolescent Rowers During a Graded Exercise Test

Schmitz, Gerd (Basel : MDPI AG, 2020)

Physical activity promotes mental health. A key factor is self-regulation. In the field of sports, self-regulation is related to the psychophysiological competence of rating of perceived effort (RPE). It was reported that ...
The impact of the COVID-19 outbreak on the medico-legal and human rights of psychiatric patients

Thome, Johannes; Coogan, Andrew N.; Simon, Frederick; Fischer, Matthias; Tucha, Oliver; Faltraco, Frank; Marazziti, Donatella; Butzer, Hermann (Cambridge : Cambridge University Press, 2020)

The COVID-19 pandemic has raised significant concerns for population mental health and the effective provision of mental health services in the light of increased demands and barriers to service delivery [1]. Particular ...
Traditional Machine Learning Models and Bidirectional Encoder Representations From Transformer (BERT)-Based Automatic Classification of Tweets About Eating Disorders: Algorithm Development and Validation Study

Benítez-Andrades, José Alberto; Alija-Pérez, José-Manuel; Vidal, Maria-Esther; Pastor-Vargas, Rafael; García-Ordás, María Teresa (Toronto : [Verlag nicht ermittelbar], 2022)

Background: Eating disorders affect an increasing number of people. Social networks provide information that can help. Objective: We aimed to find machine learning models capable of efficiently categorizing tweets about ...

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Browsing by Subject "mental health"

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