Workshop Proceedings of the 19th International AAAI Conference on Web and Social Media

Workshop: #SMM4H-HeaRD 2025: Joint 10th Social Media Mining for Health and Health Real-World Data Workshop and Shared Tasks

DOI: 10.36190/2025.63

Published: 2025-06-05
RBG-AI at #SMM4H-HeaRD 2025: LLMs in Healthcare Applications
Barathi Ganesh H.B., Anthony Vijay M., Naren Kishor S., Sharmila B., Jairam R., Jyothish Lal G.

This paper presents a lightweight and unified LLM-based system designed for the SMM4H 2025 Task 4: Detection of Insomnia in Clinical Notes. We adopt a single-prompt inference approach using open-source language models constrained to 4B parameters for computational efficiency. On the official test set, RBG-AI achieved an F1-score of 0.9462 (Subtask 1), 0.75 (Subtask 2A), and 0.4631 (Subtask 2B), outperforming baseline metrics. Our results highlight the effectiveness of structured prompting and hybrid rule integration in clinical NLP applications. Code is available at: https://github.com/rbg-research/SMM4H-2025.