A Machine-Learning Framework based on Continuous Glucose Monitoring to Prevent the Occurrence of Exercise-Induced Hypoglycemia in Children with Type 1 Diabetes

Agnese Piersanti, Benedetta Salvatori, Christian Göbl, Laura Burattini, Andrea Tura, Micaela Morettini. A Machine-Learning Framework based on Continuous Glucose Monitoring to Prevent the Occurrence of Exercise-Induced Hypoglycemia in Children with Type 1 Diabetes. In João Rafael Almeida, Myra Spiliopoulou, José Alberto Benítez-Andrades, Giuseppe Placidi, Alejandro Rodríguez González, Rosa Sicilia, Bridget Kane, editors, 36th IEEE International Symposium on Computer-Based Medical Systems, CBMS 2023, L'Aquila, Italy, June 22-24, 2023. pages 281-286, IEEE, 2023. [doi]

@inproceedings{PiersantiSGBTM23,
  title = {A Machine-Learning Framework based on Continuous Glucose Monitoring to Prevent the Occurrence of Exercise-Induced Hypoglycemia in Children with Type 1 Diabetes},
  author = {Agnese Piersanti and Benedetta Salvatori and Christian Göbl and Laura Burattini and Andrea Tura and Micaela Morettini},
  year = {2023},
  doi = {10.1109/CBMS58004.2023.00231},
  url = {https://doi.org/10.1109/CBMS58004.2023.00231},
  researchr = {https://researchr.org/publication/PiersantiSGBTM23},
  cites = {0},
  citedby = {0},
  pages = {281-286},
  booktitle = {36th IEEE International Symposium on Computer-Based Medical Systems, CBMS 2023, L'Aquila, Italy, June 22-24, 2023},
  editor = {João Rafael Almeida and Myra Spiliopoulou and José Alberto Benítez-Andrades and Giuseppe Placidi and Alejandro Rodríguez González and Rosa Sicilia and Bridget Kane},
  publisher = {IEEE},
  isbn = {979-8-3503-1224-9},
}