(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).
توثيق أسلوب شيكاغو (الطبعة السابعة عشر)(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.
توثيق جمعية اللغة المعاصرة MLA (الإصدار التاسع)(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.