Fedtherapist: Mental health monitoring with user-generated linguistic expressions on smartphones via federated learning

J Shin, H Yoon, S Lee, S Park, Y Liu, JD Choi… - arxiv preprint arxiv …, 2023 - arxiv.org
Psychiatrists diagnose mental disorders via the linguistic use of patients. Still, due to data
privacy, existing passive mental health monitoring systems use alternative features such as …

AI for Defence: Readiness, Resilience and Mental Health

SE Middleton, D Leightley, P Hinton… - The RUSI …, 2024 - Taylor & Francis
AI is a cross-cutting technology that is having a major impact on behavioural analysis in both
the defence and mental health domains. Employing AI well may boost the readiness and …

Harmful Suicide Content Detection

K Park, MJ Baik, YJ Hwang, Y Shin, HJ Lee… - arxiv preprint arxiv …, 2024 - arxiv.org
Harmful suicide content on the Internet is a significant risk factor inducing suicidal thoughts
and behaviors among vulnerable populations. Despite global efforts, existing resources are …

Overview of IEEE BigData 2024 Cup Challenges: Suicide Ideation Detection on Social Media

J Li, Y Yan, Z Zhang, X Wang… - … Conference on Big …, 2024 - ieeexplore.ieee.org
This overview presents one of the cup challenges of IEEE BigData 2024, with the topic of
suicide risk level detection on social media posts. Given a training set of N= 2000 posts (N …

Natural language processing for mental disorders: an overview

I Calixto, V Yaneva, RM Cardoso - Natural Language Processing …, 2022 - taylorfrancis.com
This chapter provides an overview of the Natural Language Processing (NLP) applications
and datasets dedicated to addressing problems related to mental health in the NLP …