Mental Health | Farhan Noor Dehan

Clinical and Social NLP

Tue, 01 Sep 2026 00:00:00 +0000

I develop computational methods for studying clinically meaningful signals in online discourse, including substance use, psychiatric comorbidity, demographic information, and risk factors. The work emphasizes careful annotation, reproducible evaluation, and interpretation beyond keyword co-occurrence.

Beyond Risk Detection: Functional Roles of Substance Use in Suicidal Discourse Among Individuals with Autism Spectrum Disorder and Eating Disorders

Mon, 01 Jun 2026 00:00:00 +0000

Presented at cNLP4QoL 2026, this work moves beyond simple mention detection to characterize the contextual roles of substance use in mental-health discourse.

Eating Disorders Among Individuals with Suicidal Distress: A Cross-Sectional Analysis of Reddit Data on Prevalence, Demographics, and Psychiatric Comorbidity

Mon, 01 Jun 2026 00:00:00 +0000

This work examines prevalence, demographic patterns, and psychiatric comorbidity in eating-disorder-related suicidal-distress discussions.

Evaluating the Few-Shot Performance of Large Language Models for Classifying Clinical Risk Factors in Mental Health Text

Mon, 08 Dec 2025 00:00:00 +0000

This study benchmarks Gemini, GPT, Llama, and Mistral across three binary classification tasks involving family abuse, substance use, and prior suicide attempts.