Work

A3S@C-DAC at #SMM4H-HeaRD 2026: Reasoning Meets Evidence: LLMs for Interpretable Insomnia Detection with Evidence Extraction in Clinical Notes

Year: 2026

Type: conference-paper

Abstract: Abhishek Maity, Amol Shinde, Abhishek Suresh Kushare, Swapnil Pawar. Proceedings of the 11th Social Media Mining for Health Research and Applications (SMM4H-HeaRD 2026) Workshop and Shared Tasks. 2026.

Source: Social Media Mining for Health Research and Applications Workshop and Shared Tasks (SMM4H)

DOI: 10.18653/v1/2026.smm4h-1.1

Authors: Abhishek Maity, Amol Shinde, Abhishek Suresh Kushare, Swapnil Pawar

Institution: Centre for Development of Advanced Computing

Language: English

Topic: Machine Learning in Healthcare

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

SDG: Good health and well-being

Open Access status: hybrid

Funder: Nvidia

OpenAlex ID: W7166804342

FWCI:

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Related to: 10