[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 …
Machine learning in mental health: A systematic review of the HCI literature to support the development of effective and implementable ML systems
High prevalence of mental illness and the need for effective mental health care, combined
with recent advances in AI, has led to an increase in explorations of how the field of machine …
with recent advances in AI, has led to an increase in explorations of how the field of machine …
A deep learning model for detecting mental illness from user content on social media
Users of social media often share their feelings or emotional states through their posts. In
this study, we developed a deep learning model to identify a user's mental state based on …
this study, we developed a deep learning model to identify a user's mental state based on …
Designing human-centered AI for mental health: Developing clinically relevant applications for online CBT treatment
A Thieme, M Hanratty, M Lyons, J Palacios… - ACM Transactions on …, 2023 - dl.acm.org
Recent advances in AI and machine learning (ML) promise significant transformations in the
future delivery of healthcare. Despite a surge in research and development, few works have …
future delivery of healthcare. Despite a surge in research and development, few works have …
DEPTWEET: A typology for social media texts to detect depression severities
Mental health research through data-driven methods has been hindered by a lack of
standard typology and scarcity of adequate data. In this study, we leverage the clinical …
standard typology and scarcity of adequate data. In this study, we leverage the clinical …
Knowledge-aware assessment of severity of suicide risk for early intervention
Mental health illness such as depression is a significant risk factor for suicide ideation,
behaviors, and attempts. A report by Substance Abuse and Mental Health Services …
behaviors, and attempts. A report by Substance Abuse and Mental Health Services …
[HTML][HTML] Ethics and law in research on algorithmic and data-driven technology in mental health care: scoping review
P Gooding, T Kariotis - JMIR Mental Health, 2021 - mental.jmir.org
Background Uncertainty surrounds the ethical and legal implications of algorithmic and data-
driven technologies in the mental health context, including technologies characterized as …
driven technologies in the mental health context, including technologies characterized as …
A social media study on the effects of psychiatric medication use
Understanding the effects of psychiatric medications during mental health treatment
constitutes an active area of inquiry. While clinical trials help evaluate the effects of these …
constitutes an active area of inquiry. While clinical trials help evaluate the effects of these …
A multi-task learning framework for politeness and emotion detection in dialogues for mental health counselling and legal aid
Abstract The World Health Organization (WHO) has highlighted the need to greatly
accelerate the prevention of crime and harassment against women and children, thereby …
accelerate the prevention of crime and harassment against women and children, thereby …
[HTML][HTML] Mental disorders on online social media through the lens of language and behaviour: Analysis and visualisation
Due to the worldwide accessibility to the Internet along with the continuous advances in
mobile technologies, physical and digital worlds have become completely blended, and the …
mobile technologies, physical and digital worlds have become completely blended, and the …