Results 31 to 40 of about 1,740,091 (284)
Concepts of mental disorders in the United Kingdom : Similarities and differences between the lay public and psychiatrists [PDF]
BACKGROUND: The lay public often conceptualise mental disorders in a different way to mental health professionals, and this can negatively impact on outcomes when in treatment.
Ben Butlin+13 more
core +1 more source
Background Despite the recent findings presenting the benefits of measurement-based care (MBC) compared to treatment as usual (TAU), MBC is still not the standard of care used in clinical settings.
Jingjing Zhou+6 more
doaj +1 more source
Background The neuroimaging mechanism of major depressive episodes with mixed features (MMF) is not clear.Aims This study aimed to investigate the functional connectivity of the default mode network (DMN) subsystems among patients with MMF and patients ...
Jing Liu+9 more
doaj +1 more source
Towards Knowledge-based Mining of Mental Disorder Patterns from Textual Data [PDF]
Mental health disorders may cause severe consequences on all the countries' economies and health. For example, the impacts of the COVID-19 pandemic, such as isolation and travel ban, can make us feel depressed. Identifying early signs of mental health disorders is vital. For example, depression may increase an individual's risk of suicide. The state-of-
arxiv
MentalBERT: Publicly Available Pretrained Language Models for Mental Healthcare [PDF]
Mental health is a critical issue in modern society, and mental disorders could sometimes turn to suicidal ideation without adequate treatment. Early detection of mental disorders and suicidal ideation from social content provides a potential way for effective social intervention.
arxiv
Although sluggish cognitive tempo (SCT) symptoms are often observed in children with attention deficit hyperactivity disorder (ADHD), an increasing number of studies have highlighted its uniqueness.
Fenghua Li+8 more
doaj +1 more source
Analyzing the Effect of Data Impurity on the Detection Performances of Mental Disorders [PDF]
The primary method for identifying mental disorders automatically has traditionally involved using binary classifiers. These classifiers are trained using behavioral data obtained from an interview setup. In this training process, data from individuals with the specific disorder under consideration are categorized as the positive class, while data from
arxiv
The Abduction of Disorder in Psychiatry [PDF]
The evolutionary cornerstone of J. C. Wakefield's (1999) harmful dysfunction thesis is a faulty assumption of comparability between mental and biological processes that overlooks the unique plasticity and openness of the brain?s functioning design.
Hinshaw, Stephen P., Richters, John E.
core +1 more source
Utterance Classification with Logical Neural Network: Explainable AI for Mental Disorder Diagnosis [PDF]
In response to the global challenge of mental health problems, we proposes a Logical Neural Network (LNN) based Neuro-Symbolic AI method for the diagnosis of mental disorders. Due to the lack of effective therapy coverage for mental disorders, there is a need for an AI solution that can assist therapists with the diagnosis.
arxiv