[HTML][HTML] GARNN: an interpretable graph attentive recurrent neural network for predicting blood glucose levels via multivariate time series
Accurate prediction of future blood glucose (BG) levels can effectively improve BG
management for people living with type 1 or 2 diabetes, thereby reducing complications and …
management for people living with type 1 or 2 diabetes, thereby reducing complications and …
Early prediction of gestational diabetes with parameter-tuned K-Nearest Neighbor Classifier
TA Assegie, T Suresh, R Purushothaman… - Journal of Robotics …, 2023 - journal.umy.ac.id
Blood Glucose Prediction from Nutrition Analytics in Type 1 Diabetes: A Review
Introduction: Type 1 Diabetes (T1D) affects over 9 million worldwide and necessitates
meticulous self-management for blood glucose (BG) control. Utilizing BG prediction …
meticulous self-management for blood glucose (BG) control. Utilizing BG prediction …
AWD-stacking: An enhanced ensemble learning model for predicting glucose levels
HZ Yang, Z Chen, J Huang, S Li - Plos one, 2024 - journals.plos.org
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 …
therapy and minimizing complications in patients with type 1 diabetes. Using ensemble …
Crossgp: Cross-day glucose prediction excluding physiological information
The increasing number of diabetic patients is a serious issue in society today, which has
significant negative impacts on people's health and the country's financial expenditures …
significant negative impacts on people's health and the country's financial expenditures …
[HTML][HTML] User-cloud-based ensemble framework for type-2 diabetes prediction with diet plan suggestion
G Prabhakar, VR Chintala, T Reddy… - e-Prime-Advances in …, 2024 - Elsevier
Currently, many individuals are experiencing diabetes, which is attributed to work-related
stress and unhealthy lifestyles. Often, people are only aware of their health status once …
stress and unhealthy lifestyles. Often, people are only aware of their health status once …
Glu-Ensemble: An ensemble deep learning framework for blood glucose forecasting in type 2 diabetes patients
Diabetes is a chronic metabolic disorder characterized by elevated blood glucose levels,
posing significant health risks such as cardiovascular disease, and nerve, kidney, and eye …
posing significant health risks such as cardiovascular disease, and nerve, kidney, and eye …
[HTML][HTML] Optimizing hypoglycaemia prediction in type 1 diabetes with Ensemble Machine Learning modeling
Background Type 1 diabetes (T1D) is a chronic endocrine disorder characterized by high
blood glucose levels, impacting millions of people globally. Its management requires …
blood glucose levels, impacting millions of people globally. Its management requires …
The Impact of Missing Continuous Blood Glucose Samples on Machine Learning Models for Predicting Postprandial Hypoglycemia: An Experimental Analysis
This study investigates how missing data samples in continuous blood glucose data affect
the prediction of postprandial hypoglycemia, which is crucial for diabetes management. We …
the prediction of postprandial hypoglycemia, which is crucial for diabetes management. We …
[HTML][HTML] A Novel Application of K-means Cluster Prediction Model for Diabetes Early Identification using Dimensionality Reduction Techniques
Purpose: Diabetes is a condition where the body cannot utilize insulin properly.
Maintenance of the levels of insulin in the body is mandatory, otherwise it will lead to several …
Maintenance of the levels of insulin in the body is mandatory, otherwise it will lead to several …