Accurate prediction of blood glucose levels is essential for type 1 diabetes optimizing insulin
therapy and minimizing complications in patients with type 1 diabetes. Using ensemble …

Nowadays machine learning has several applications in the health sector. Disease
prediction is one of the important healthcare applications in which various diseases have …

Type 1 Diabetes Mellitus (DM1) patients are used to checking their blood glucose levels
several times per day through finger sticks and, by subjectively handling this information, to …

Deep learning (DL) is an emerging technology in solving various real-life problems in the
most efficient way. The increasing computational power makes it capable to handle large …

Objective: Accurate blood glucose (BG) prediction are key in next-generation tools for type 1
diabetes (T1D) management, such as improved decision support systems and advanced …

The Diabetes‐Mellitus (DM) disease is considered a persistent ailment that is triggered by
excessive sugar levels in the blood of a person. It gives rise to severe health complications …

Résumé An essential part of this work is to provide a data-driven model for predicting blood
glucose levels that will help to warn the person with type 1 diabetes about a potential hypo …

Today, diabetes is one of the most prevalent, chronic, and deadly diseases in the world
owing to some complications. If accurate early diagnosis is feasible, the risk factor and …

In this paper we investigate the benefits of applying a multi-objective approach for solving a
symbolic regression problem by means of Grammatical Evolution. In particular, we extend …

Due to the sensitive nature of diabetes-related data, preventing them from being easily
shared between studies, and the wide discrepancies in their data processing pipeline …