Language models for online depression detection: A review and benchmark analysis on remote interviews
The use of machine learning (ML) to detect depression in online settings has emerged as an
important health and wellness use case. In particular, the use of deep learning methods for …
important health and wellness use case. In particular, the use of deep learning methods for …
Explainable depression symptom detection in social media
Users of social platforms often perceive these sites as supportive spaces to post about their
mental health issues. Those conversations contain important traces about individuals' health …
mental health issues. Those conversations contain important traces about individuals' health …
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 …
DepreSym: A Depression Symptom Annotated Corpus and the Role of LLMs as Assessors of Psychological Markers
A Pérez, M Fernández-Pichel, J Parapar… - ar** by using the active and passive EEG paradigms
S Yasin, A Othmani, B Mohamed, I Raza… - Multimedia Tools and …, 2024 - Springer
Depression, a paramount global health challenge, necessitates an advanced diagnostic
approach. This study employs EEG and AI on a psycho-physiological Healthy Brain Network …
approach. This study employs EEG and AI on a psycho-physiological Healthy Brain Network …