[HTML][HTML] Natural language processing applied to mental illness detection: a narrative review
Mental illness is highly prevalent nowadays, constituting a major cause of distress in
people's life with impact on society's health and well-being. Mental illness is a complex multi …
people's life with impact on society's health and well-being. Mental illness is a complex multi …
From promise to practice: towards the realisation of AI-informed mental health care
In this Series paper, we explore the promises and challenges of artificial intelligence (AI)-
based precision medicine tools in mental health care from clinical, ethical, and regulatory …
based precision medicine tools in mental health care from clinical, ethical, and regulatory …
Artificial intelligence for mental health care: clinical applications, barriers, facilitators, and artificial wisdom
Artificial intelligence (AI) is increasingly employed in health care fields such as oncology,
radiology, and dermatology. However, the use of AI in mental health care and …
radiology, and dermatology. However, the use of AI in mental health care and …
Natural language processing for mental health interventions: a systematic review and research framework
Neuropsychiatric disorders pose a high societal cost, but their treatment is hindered by lack
of objective outcomes and fidelity metrics. AI technologies and specifically Natural …
of objective outcomes and fidelity metrics. AI technologies and specifically Natural …
[HTML][HTML] Psychosocial effects of the COVID-19 pandemic: large-scale quasi-experimental study on social media
Background The COVID-19 pandemic has caused several disruptions in personal and
collective lives worldwide. The uncertainties surrounding the pandemic have also led to …
collective lives worldwide. The uncertainties surrounding the pandemic have also led to …
Self-trained deep ordinal regression for end-to-end video anomaly detection
Video anomaly detection is of critical practical importance to a variety of real applications
because it allows human attention to be focused on events that are likely to be of interest, in …
because it allows human attention to be focused on events that are likely to be of interest, in …
Mental health analysis in social media posts: a survey
M Garg - Archives of Computational Methods in Engineering, 2023 - Springer
The surge in internet use to express personal thoughts and beliefs makes it increasingly
feasible for the social NLP research community to find and validate associations between …
feasible for the social NLP research community to find and validate associations between …
Charting the sociotechnical gap in explainable ai: A framework to address the gap in xai
Explainable AI (XAI) systems are sociotechnical in nature; thus, they are subject to the
sociotechnical gap-divide between the technical affordances and the social needs …
sociotechnical gap-divide between the technical affordances and the social needs …
[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 …
Social media and well-being: A methodological perspective
Due to the methodological challenges inherent in studying social media use (SMU), as well
as the methodological choices that have shaped research into the effects of SMU on well …
as the methodological choices that have shaped research into the effects of SMU on well …