Large language models in mental health care: a sco** review
The integration of large language models (LLMs) in mental health care is an emerging field.
There is a need to systematically review the application outcomes and delineate the …
There is a need to systematically review the application outcomes and delineate the …
[HTML][HTML] A mental state Knowledge–aware and Contrastive Network for early stress and depression detection on social media
Stress and depression detection on social media aim at the analysis of stress and
identification of depression tendency from social media posts, which provide assistance for …
identification of depression tendency from social media posts, which provide assistance for …
MentaLLaMA: interpretable mental health analysis on social media with large language models
As an integral part of people's daily lives, social media is becoming a rich source for
automatic mental health analysis. As traditional discriminative methods bear poor …
automatic mental health analysis. As traditional discriminative methods bear poor …
State-of-the-art generalisation research in NLP: a taxonomy and review
The ability to generalise well is one of the primary desiderata of natural language
processing (NLP). Yet, what'good generalisation'entails and how it should be evaluated is …
processing (NLP). Yet, what'good generalisation'entails and how it should be evaluated is …
A comprehensive survey on online social networks security and privacy issues: Threats, machine learning‐based solutions, and open challenges
Over the past few years, online social networks (OSNs) have become an inseparable part of
people's daily lives. Instead of being passive readers, people are now enjoying their role as …
people's daily lives. Instead of being passive readers, people are now enjoying their role as …
Improving the generalizability of depression detection by leveraging clinical questionnaires
Automated methods have been widely used to identify and analyze mental health conditions
(eg, depression) from various sources of information, including social media. Yet …
(eg, depression) from various sources of information, including social media. Yet …
Benefits and harms of large language models in digital mental health
The past decade has been transformative for mental health research and practice. The
ability to harness large repositories of data, whether from electronic health records (EHR) …
ability to harness large repositories of data, whether from electronic health records (EHR) …
Empowering psychotherapy with large language models: Cognitive distortion detection through diagnosis of thought prompting
Mental illness remains one of the most critical public health issues of our time, due to the
severe scarcity and accessibility limit of professionals. Psychotherapy requires high-level …
severe scarcity and accessibility limit of professionals. Psychotherapy requires high-level …
On the state of social media data for mental health research
Data-driven methods for mental health treatment and surveillance have become a major
focus in computational science research in the last decade. However, progress in the …
focus in computational science research in the last decade. However, progress in the …
Bdi-sen: A sentence dataset for clinical symptoms of depression
People tend to consider social platforms as convenient media for expressing their concerns
and emotional struggles. With their widespread use, researchers could access and analyze …
and emotional struggles. With their widespread use, researchers could access and analyze …