Accurately predicting blood glucose levels is crucial in diabetes management to mitigate
patients' risk of complications. However, blood glucose values exhibit instability, and existing …

The increasing prevalence of Diabetes Mellitus (DM) as a global health concern highlights
the paramount importance of accurately predicting its progression. This necessity has …

Precise and timely forecasting of blood glucose levels is essential for effective diabetes
management. While extensive research has been conducted on Type 1 diabetes mellitus …

This work comprehensively investigates the systematic integration of highly relevant life
events and physiological parameters with continuous glucose monitoring (CGM) data to …

Diabetes has become one of the most severe and prevalent chronic diseases, leading to life-
threatening, costly, and disabling consequences and reduced life expectancy. Uncontrolled …

Background: Machine learning offers new options for glucose prediction and real-time
glucose management. The aim of this study was to develop a machine learning-based …

Prediabetes, as an intermediary stage between normal glucose homeostasis and overt
diabetes, affects an estimated 720 million individuals worldwide, highlighting the urgent …

Newly diagnosed Type 1 Diabetes (T1D) patients often struggle to obtain effective Blood
Glucose (BG) prediction models due to the lack of sufficient BG data from Continuous …

The permeability index is an important variable to reflect the operating state of a blast
furnace quickly, intuitively and comprehensively. Given the multi-scale, nonlinear and …

Blood glucose (BG) prediction has advanced to a state of the art thanks to deep learning
models, which have been demonstrated to enhance type 1 diabetes (T1D) therapy …