TY  - GEN 
AU  - Gaitán-Guerrero, Juan F.
AU  - Martínez Cruz, Carmen
AU  - Espinilla, Macarena
AU  - Díaz-Jiménez, David
AU  - López, Jose L.
PY  - 2025
SN  - 0169-2607
UR  - https://hdl.handle.net/10481/110032
AB  - This study addresses the challenge of interpreting complex continuous glucose monitoring data in diabetes management by proposing a domain-guided fine-tuning methodology for Large Language Models. Using expert-modeled fuzzy logic datasets and...
LA  - eng
PB  - Elsevier
KW  - Diabetes management
KW  - Prompt engineering
KW  - Continuous glucose monitoring
TI  - A novel fine-tuning and evaluation methodology for large language models on IoT raw data summaries (LLM-RawDMeth): A joint perspective in diabetes care
DO  - 10.1016/j.cmpb.2025.108878
ER  -