Article

Fine-Tuned Large Language Models for Detecting Social Isolation from Unstructured Clinical Notes

2026-07-07

Abstract excerpt

<h4>Objective</h4> To identify instances of social isolation and social support within unstructured clinical notes by leveraging fine-tuned FLAN-T5-Large, BERT, RoBERTa, and Gemma-2-2B models. <h4>Materials and Methods</h4> The study used annotated clinical note spans containing social context cues from 326,847 adults aged ζ 50 years between 2020 and 2023 to fine-tune each model. Performance was evaluated using...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work: 1c31778d-05fb-5b31-88d1-caee6806026e
DOI: 10.64898/2026.07.05.26357334

Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest

Fine-Tuned Large Language Models for Detecting Social Isolation from Unstructured Clinical NotesDOI 10.64898/2026.07.05.26357334Read

Scalable information extraction from free text electronic health records using large language modelsSemantic proximity Read

Scalable information extraction from free text electronic health records using large language modelsSemantic proximity Read

Using Large Language Models to Annotate Complex Cases of Social Determinants of Health in Longitudinal Clinical RecordsSemantic proximity Read

Mobility Functional Status Ascertainment in Electronic Health Records using Large Language ModelsSemantic proximity Read

Benchmarking Large Language Models for Pathogen–Disease Classification in Post-Acute Infection SyndromesSemantic proximity Read

Automated Insomnia Phenotyping from Electronic Health Records: Leveraging Large Language Models to Decode Clinical NarrativesSemantic proximity Read

Predicting Behavioral Determinants of Health from Clinical Text Using Transformer Models and BiLSTMSemantic proximity Read

Longitudinal information extraction from clinical notes in rare diseases: an efficient approach with small language modelsSemantic proximity Read

Large Language Models for Social Determinants of Health Information Extraction from Clinical Notes – A Generalizable Approach across InstitutionsSemantic proximity Read

Extracting Social Determinants of Health from Electronic Health Records: Development and Comparison of Rule-Based and Large Language Model MethodsSemantic proximity Read

SBDH-Reader: an LLM-powered method for extracting social and behavioral determinants of health from clinical notesSemantic proximity Read

A retrieval-augmented generation large language model framework for accurate dementia identification from electronic health recordsSemantic proximity Read