Back to search

Article

Leveraging Large Language Models to Analyze Continuous Glucose Monitoring Data: A Case Study

2024-04-08

Abstract excerpt

Continuous glucose monitors (CGM) provide patients and clinicians with valuable insights about glycemic control that aid in diabetes management. The advent of large language models (LLMs), such as GPT-4, has enabled real-time text generation and summarization of medical data. Further, recent advancements have enabled the integration of data analysis features in chatbots, such that raw data can be uploaded and anal...

Topics

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

Identifiers and source

Literature Corpus work
0ce890f2-8c70-5975-a561-7a5f5e7bb754
DOI
10.1101/2024.04.06.24305022
Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest
Interactive article relationship graphSelect a related publication card to move it into the centre and load its closest explainable connections. Solid lines are source-backed structured connections. Dashed lines are semantic discovery signals and are not scientific evidence.
Leveraging Large Language Models to Analyze Continuous Glucose Monitoring Data: A Case StudyDOI 10.1101/2024.04.06.24305022
Select a neighboring publication to make it the new centre.