Parcerisas, A.; Contreras, I.; Delecourt, A.; Bertachi, A.; Beneyto, A.; Conget, I.; Viñals, C.; Giménez, M.; Vehi, J.
A Machine Learning Approach to Minimize Nocturnal Hypoglycemic Events in Type 1 Diabetic Patients under Multiple Doses of Insulin. Sensors 2022, 22, 1665.
https://doi.org/10.3390/s22041665
AMA Style
Parcerisas A, Contreras I, Delecourt A, Bertachi A, Beneyto A, Conget I, Viñals C, Giménez M, Vehi J.
A Machine Learning Approach to Minimize Nocturnal Hypoglycemic Events in Type 1 Diabetic Patients under Multiple Doses of Insulin. Sensors. 2022; 22(4):1665.
https://doi.org/10.3390/s22041665
Chicago/Turabian Style
Parcerisas, Adrià , Ivan Contreras, Alexia Delecourt, Arthur Bertachi, Aleix Beneyto, Ignacio Conget, Clara Viñals, Marga Giménez, and Josep Vehi.
2022. "A Machine Learning Approach to Minimize Nocturnal Hypoglycemic Events in Type 1 Diabetic Patients under Multiple Doses of Insulin" Sensors 22, no. 4: 1665.
https://doi.org/10.3390/s22041665
APA Style
Parcerisas, A., Contreras, I., Delecourt, A., Bertachi, A., Beneyto, A., Conget, I., Viñals, C., Giménez, M., & Vehi, J.
(2022). A Machine Learning Approach to Minimize Nocturnal Hypoglycemic Events in Type 1 Diabetic Patients under Multiple Doses of Insulin. Sensors, 22(4), 1665.
https://doi.org/10.3390/s22041665
