Predicting poor glycemic control during Ramadan among non-fasting patients with diabetes using artificial intelligence based machine learning models.

Abstract

Authors

• Imane Motaib
  Department of Endocrinology Diabetology Metabolic Disease and Nutrition, Cheikh Khalifa International University Hospital, Faculty of Medicine, Mohammed VI University of Health Sciences (UM6SS), Casablanca, Morocco. Electronic address: imotaib@um6ss.ma.
• Faiçal Aitlahbib
  Hassania School of Public Works, Casablanca, Morocco; Office Chérifien des Phosphates (OCP), Casablanca, Morocco.
• Abdelhamid Fadil
  Hassania School of Public Works, Casablanca, Morocco.
• Fatima Z Rhmari Tlemcani
  Department of Endocrinology Diabetology Metabolic Disease and Nutrition, Cheikh Khalifa International University Hospital, Faculty of Medicine, Mohammed VI University of Health Sciences (UM6SS), Casablanca, Morocco.
• Saloua Elamari
  Department of Endocrinology Diabetology Metabolic Disease and Nutrition, Cheikh Khalifa International University Hospital, Faculty of Medicine, Mohammed VI University of Health Sciences (UM6SS), Casablanca, Morocco.
• Soukaina Laidi
  Department of Endocrinology Diabetology Metabolic Disease and Nutrition, Cheikh Khalifa International University Hospital, Faculty of Medicine, Mohammed VI University of Health Sciences (UM6SS), Casablanca, Morocco.
• Asma Chadli
  Department of Endocrinology Diabetology Metabolic Disease and Nutrition, Cheikh Khalifa International University Hospital, Faculty of Medicine, Mohammed VI University of Health Sciences (UM6SS), Casablanca, Morocco.

Keywords

External Resources