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Graph-Augmented LLMs for Personalized Health Insights: A Case Study in Sleep Analysis

Graph-Augmented LLMs for Personalized Health Insights: A Case Study in Sleep Analysis

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_3072355573

Graph-Augmented LLMs for Personalized Health Insights: A Case Study in Sleep Analysis

About this item

Full title

Graph-Augmented LLMs for Personalized Health Insights: A Case Study in Sleep Analysis

Publisher

Ithaca: Cornell University Library, arXiv.org

Journal title

arXiv.org, 2024-06

Language

English

Formats

Publication information

Publisher

Ithaca: Cornell University Library, arXiv.org

More information

Scope and Contents

Contents

Health monitoring systems have revolutionized modern healthcare by enabling the continuous capture of physiological and behavioral data, essential for preventive measures and early health intervention. While integrating this data with Large Language Models (LLMs) has shown promise in delivering interactive health advice, traditional methods like Re...

Alternative Titles

Full title

Graph-Augmented LLMs for Personalized Health Insights: A Case Study in Sleep Analysis

Authors, Artists and Contributors

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_proquest_journals_3072355573

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_3072355573

Other Identifiers

E-ISSN

2331-8422

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