Order Article Reprints

Rodríguez-Rodríguez I, Chatzigiannakis I, Rodríguez J-V, Maranghi M, Gentili M, Zamora-Izquierdo M-Á. Utility of Big Data in Predicting Short-Term Blood Glucose Levels in Type 1 Diabetes Mellitus Through Machine Learning Techniques. Sensors. 2019; 19(20):4482. https://doi.org/10.3390/s19204482

Rodríguez-Rodríguez, Ignacio, Ioannis Chatzigiannakis, José-Víctor Rodríguez, Marianna Maranghi, Michele Gentili, and Miguel-Ángel Zamora-Izquierdo. 2019. "Utility of Big Data in Predicting Short-Term Blood Glucose Levels in Type 1 Diabetes Mellitus Through Machine Learning Techniques" Sensors 19, no. 20: 4482. https://doi.org/10.3390/s19204482

Rodríguez-Rodríguez, I., Chatzigiannakis, I., Rodríguez, J.-V., Maranghi, M., Gentili, M., & Zamora-Izquierdo, M.-Á. (2019). Utility of Big Data in Predicting Short-Term Blood Glucose Levels in Type 1 Diabetes Mellitus Through Machine Learning Techniques. Sensors, 19(20), 4482. https://doi.org/10.3390/s19204482