A case study on using a large language model to analyze continuous glucose monitoring data
Abstract Continuous glucose monitors (CGM) provide valuable insights about glycemic control that aid in diabetes management. However, interpreting metrics and charts and synthesizing them into linguistic summaries is often non-trivial for patients and providers. The advent of large language models (...
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| Hauptverfasser: | , , , , |
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| Format: | Artigo |
| Sprache: | Inglês |
| Veröffentlicht: |
Nature Portfolio
2025-01-01
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| Schriftenreihe: | Scientific Reports |
| Online-Zugang: | https://doi.org/10.1038/s41598-024-84003-0 |
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