Fair and explainable depression detection in social media
Detection at an early stage is vital for the diagnosis of the majority of critical illnesses and is
the same for identifying people suffering from depression. Nowadays, a number of …
the same for identifying people suffering from depression. Nowadays, a number of …
Tutorial: Neuro-symbolic ai for mental healthcare
Artificial Intelligence (AI) systems for mental healthcare (MHCare) have been ever-growing
after realizing the importance of early interventions for patients with chronic mental health …
after realizing the importance of early interventions for patients with chronic mental health …
[HTML][HTML] Debate and Dilemmas Regarding Generative AI in Mental Health Care: Scoping Review
Background: Mental disorders have ranked among the top 10 prevalent causes of burden on
a global scale. Generative artificial intelligence (GAI) has emerged as a promising and …
a global scale. Generative artificial intelligence (GAI) has emerged as a promising and …
Knowledge-enhanced mixed-initiative dialogue system for emotional support conversations
Unlike empathetic dialogues, the system in emotional support conversations (ESC) is
expected to not only convey empathy for comforting the help-seeker, but also proactively …
expected to not only convey empathy for comforting the help-seeker, but also proactively …
Transformer-based language models for mental health issues: a survey
Early identification and prevention of mental health stresses and their outcomes has become
of urgent importance worldwide. To this purpose, artificial intelligence provides a body of …
of urgent importance worldwide. To this purpose, artificial intelligence provides a body of …
Trends and overview: The potential of conversational agents in digital health
With the COVID-19 pandemic serving as a trigger, 2020 saw an unparalleled global
expansion of tele-health. Tele-health successfully lowers the need for in-person …
expansion of tele-health. Tele-health successfully lowers the need for in-person …
Detecting Bipolar Disorder from Misdiagnosed Major Depressive Disorder with Mood-Aware Multi-Task Learning
Bipolar Disorder (BD) is a mental disorder characterized by intense mood swings, from
depression to manic states. Individuals with BD are at a higher risk of suicide, but BD is often …
depression to manic states. Individuals with BD are at a higher risk of suicide, but BD is often …
Multi-Task Learning Using Facial Features for Mental Health Screening
Major depressive disorder (MDD) and post-traumatic stress disorder (PTSD) are prevalent
mental health conditions with severe physical and social impacts. They are expensive and …
mental health conditions with severe physical and social impacts. They are expensive and …
Community Needs and Assets: A Computational Analysis of Community Conversations
MTA Chowdhury, N Sharma… - Proceedings of the …, 2024 - ojs.aaai.org
A community needs assessment is a tool used by non-profits and government agencies to
quantify the strengths and issues of a community, allowing them to allocate their resources …
quantify the strengths and issues of a community, allowing them to allocate their resources …
Producing Considerate Responses: Progressive Staged Training for Emotional Support Conversation
G Lv, J Li, X Wang, X Zhan… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
Emotional support conversation (ESC) aims to alleviate the negative emotions of help-
seekers by providing psychological assistance. Existing approaches typically overlook the …
seekers by providing psychological assistance. Existing approaches typically overlook the …