AAAI 2026technical0 citations
BRI-MH: Behavioral Risk Index for Mental Health — An Interpretable Multimodal LLM-Augmented Framework (Student Abstract)
Mahi Mann, Avinash Anand, Rajiv Ratn Shah
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.
BibTeX
@inproceedings{aaai2026_brimhbehavioralr,
title = {BRI-MH: Behavioral Risk Index for Mental Health — An Interpretable Multimodal LLM-Augmented Framework (Student Abstract)},
author = {Mahi Mann and Avinash Anand and Rajiv Ratn Shah},
booktitle = {AAAI 2026},
year = {2026}
}