(5480393), T. E., (581171), R. M., (5593550), M. B., (8479842), J. P., (3572423), L. F., (13134579), F. F., . . . (9417977), A. B. A. (2020). Artificial Intelligence (AI) based machine learning models predict glucose variability and hypoglycaemia risk in patients with type 2 diabetes on a multiple drug regimen who fast during ramadan (The PROFAST – IT Ramadan study).
Chicago Style (17th ed.) Citation(5480393), Tarik Elhadd, et al. Artificial Intelligence (AI) Based Machine Learning Models Predict Glucose Variability and Hypoglycaemia Risk in Patients with Type 2 Diabetes on a Multiple Drug Regimen Who Fast During Ramadan (The PROFAST – IT Ramadan Study). 2020.
MLA (9th ed.) Citation(5480393), Tarik Elhadd, et al. Artificial Intelligence (AI) Based Machine Learning Models Predict Glucose Variability and Hypoglycaemia Risk in Patients with Type 2 Diabetes on a Multiple Drug Regimen Who Fast During Ramadan (The PROFAST – IT Ramadan Study). 2020.