BRI-MH: Behavioral Risk Index for Mental Health — An Interpretable Multimodal LLM-Augmented Framework (Student Abstract)

Mental health monitoring faces challenges from fragmented data and opaque risk scores. We present BRI-MH, an in- terpretable multimodal framework combining behavioral sig- nals with cognitive features from large language models to produce a weekly Behavioral Risk Index. Unlike prior work with isolated or black-box scores, BRI-MH offers transpar- ent, actionable insights and links continuous monitoring to adaptive feedback and therapeutic support, bridging digital phenotyping and clinical care.

Authors

• Mahi Mann Indraprastha Institute of Information Technology Delhi (IIIT-Delhi)
• Avinash Anand Indraprastha Institute of Information Technology, Delhi
• Rajiv Ratn Shah Indraprastha Institute of Information Technology, Delhi

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