Results 51 to 60 of about 5,680,524 (425)
Background Major depressive disorder (MDD) is a prevalent and disabling disorder that can lead to heavy individual, familial, and societal burdens. Although pharmaceutical interventions still play an essential role in therapeutic measures, limitations ...
Jingjing Zhou+6 more
doaj +1 more source
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
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
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
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
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
Trauma lurking in the shadows: A Reddit case study of mental health issues in online posts about Childhood Sexual Abuse [PDF]
Childhood Sexual Abuse (CSA) is a menace to society and has long-lasting effects on the mental health of the survivors. From time to time CSA survivors are haunted by various mental health issues in their lifetime. Proper care and attention towards CSA survivors facing mental health issues can drastically improve the mental health conditions of CSA ...
arxiv
Working memory deficits are linked to irregularities in the dorsolateral prefrontal cortex (DLPFC) and the posterior parietal cortex (PPC) in schizophrenia, effective intervention strategies are lacking.
Wenpeng Hou+14 more
doaj +1 more source