Classification of Hypoglycemic Events in Type 1 Diabetes Using Machine Learning Algorithms

INTRODUCTION: To improve the utilization of continuous- and flash glucose monitoring (CGM/FGM) data we have tested the hypothesis that a machine learning (ML) model can be trained to identify the most likely root causes for hypoglycemic events. METHODS: CGM/FGM data were collected from 449 patients...

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Detalles Bibliográficos
Autores principales: Cederblad, Lars, Eklund, Gustav, Vedal, Amund, Hill, Henrik, Caballero-Corbalan, José, Hellman, Jarl, Abrahamsson, Niclas, Wahlström-Johnsson, Inger, Carlsson, Per-Ola, Espes, Daniel
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Healthcare 2023
Materias:
Original Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10203083/
https://www.ncbi.nlm.nih.gov/pubmed/37052842
http://dx.doi.org/10.1007/s13300-023-01403-7

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10203083/
https://www.ncbi.nlm.nih.gov/pubmed/37052842
http://dx.doi.org/10.1007/s13300-023-01403-7

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