2 papers
cs.CL2025
ReDepress: A Cognitive Framework for Detecting Depression Relapse from Social Media
Aakash Kumar Agarwal, Saprativa Bhattacharjee, Mauli Rastogi +4
Almost 50% depression patients face the risk of going into relapse. The risk increases to 80% after the second episode of depression. Although, depression detection from social med…
cs.CL2024
Still Not Quite There! Evaluating Large Language Models for Comorbid Mental Health Diagnosis
Amey Hengle, Atharva Kulkarni, Shantanu Patankar +4
In this study, we introduce ANGST, a novel, first-of-its kind benchmark for depression-anxiety comorbidity classification from social media posts. Unlike contemporary datasets that…