Cover Image

A Review on Machine Learning Approaches for the Prediction of Glucose Levels and Hypogylcemia

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Cinar, Beyza, Boom, Louisa van den, Maleshkova, Maria
Format:	Preprint
Published:	2026
Subjects:	Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Presenting DiaData for Research on Type 1 Diabetes
by: Cinar, Beyza, et al.
Published: (2025)

Impact of Age Specialized Models for Hypoglycemia Classification
by: Cinar, Beyza, et al.
Published: (2026)

Deep Learning-Based Hypoglycemia Classification Across Multiple Prediction Horizons
by: Cinar, Beyza, et al.
Published: (2025)

Towards Improved Short-term Hypoglycemia Prediction and Diabetes Management based on Refined Heart Rate Data
by: Gupta, Vaibhav, et al.
Published: (2026)

A Proposed Paradigm for Imputing Missing Multi-Sensor Data in the Healthcare Domain
by: Gupta, Vaibhav, et al.
Published: (2026)

Benchmarking ResNet for Short-Term Hypoglycemia Classification with DiaData
by: Cinar, Beyza, et al.
Published: (2025)

Stress Detection from Multimodal Wearable Sensor Data
by: Schreiber, Paul, et al.
Published: (2025)

Blood Glucose Level Prediction in Type 1 Diabetes Using Machine Learning
by: Chu, Soon Jynn, et al.
Published: (2025)

Evaluating Imputation Techniques for Short-Term Gaps in Heart Rate Data
by: Gupta, Vaibhav, et al.
Published: (2025)

When Machine Learning Gets Personal: Evaluating Prediction and Explanation
by: Cornelis, Louisa, et al.
Published: (2025)

Privacy Preserved Blood Glucose Level Cross-Prediction: An Asynchronous Decentralized Federated Learning Approach
by: Piao, Chengzhe, et al.
Published: (2024)

Lightweight Sequential Transformers for Blood Glucose Level Prediction in Type-1 Diabetes
by: Barbato, Mirko Paolo, et al.
Published: (2025)

A Multitask VAE for Time Series Preprocessing and Prediction of Blood Glucose Level
by: AbuSaleh, Ali, et al.
Published: (2024)

Breaking Free: Decoupling Forced Systems with Laplace Neural Networks
by: Zimmering, Bernd, et al.
Published: (2025)

Diagnostics for Individual-Level Prediction Instability in Machine Learning for Healthcare
by: Miller, Elizabeth W., et al.
Published: (2026)

A Comprehensive Review on Understanding the Decentralized and Collaborative Approach in Machine Learning
by: Saif, Sarwar, et al.
Published: (2025)

An Explainable Machine Learning Approach to Traffic Accident Fatality Prediction
by: Rifat, Md. Asif Khan, et al.
Published: (2024)

Machine Learning for Synthetic Data Generation: A Review
by: Lu, Yingzhou, et al.
Published: (2023)

A Machine Learning Approach to Predict Biological Age and its Longitudinal Drivers
by: Dunbayeva, Nazira, et al.
Published: (2025)

Data-Driven Machine Learning Approaches for Predicting In-Hospital Sepsis Mortality
by: Shumilov, Arseniy, et al.
Published: (2024)

Machine Learning Predictions for Traffic Equilibria in Road Renovation Scheduling
by: Bosch, Robbert, et al.
Published: (2025)

Age-Normalized HRV Features for Non-Invasive Glucose Prediction: A Pilot Sleep-Aware Machine Learning Study
by: Azam, Md Basit, et al.
Published: (2025)

Predicting Barge Presence and Quantity on Inland Waterways using Vessel Tracking Data: A Machine Learning Approach
by: Agorku, Geoffery, et al.
Published: (2024)

Predicting the Geothermal Gradient in Colombia: a Machine Learning Approach
by: Mejía-Fragoso, Juan Camilo, et al.
Published: (2024)

Diabetes Prediction and Management Using Machine Learning Approaches
by: Alzboon, Mowafaq Salem, et al.
Published: (2025)

A Review of AI and Machine Learning Contribution in Predictive Business Process Management (Process Enhancement and Process Improvement Approaches)
by: Abbasi, Mostafa, et al.
Published: (2024)

Use of Boosting Algorithms in Household-Level Poverty Measurement: A Machine Learning Approach to Predict and Classify Household Wealth Quintiles in the Philippines
by: Salvador, Erika Lynet
Published: (2024)

The Machine Learning Approach to Moment Closure Relations for Plasma: A Review
by: Burles, Samuel, et al.
Published: (2025)

Polyhedral Conic Classifier for CTR Prediction
by: Turkmen, Beyza, et al.
Published: (2024)

Where to Build Food Banks and Pantries: A Two-Level Machine Learning Approach
by: Ruan, Gavin, et al.
Published: (2024)

Recent Advances in Traffic Accident Analysis and Prediction: A Comprehensive Review of Machine Learning Techniques
by: Behboudi, Noushin, et al.
Published: (2024)

Enhancing Glucose Level Prediction of ICU Patients through Hierarchical Modeling of Irregular Time-Series
by: Mehdizavareh, Hadi, et al.
Published: (2024)

Advancements In Heart Disease Prediction: A Machine Learning Approach For Early Detection And Risk Assessment
by: Ingole, Balaji Shesharao, et al.
Published: (2024)

A Comprehensive Review of Emerging Approaches in Machine Learning for De Novo PROTAC Design
by: Gharbi, Yossra, et al.
Published: (2024)

Causal Machine Learning for Patient-Level Intraoperative Opioid Dose Prediction from Electronic Health Records
by: Andersena, Jonas Valbjørn, et al.
Published: (2025)

Domain-Specialized Object Detection via Model-Level Mixtures of Experts
by: Pavlitska, Svetlana, et al.
Published: (2026)

Active Learning For Repairable Hardware Systems With Partial Coverage
by: Potter, Michael, et al.
Published: (2025)

GARNN: An Interpretable Graph Attentive Recurrent Neural Network for Predicting Blood Glucose Levels via Multivariate Time Series
by: Piao, Chengzhe, et al.
Published: (2024)

Free-Space Optical Channel Turbulence Prediction: A Machine Learning Approach
by: Islam, Md Zobaer, et al.
Published: (2024)

Clinically Interpretable Mortality Prediction for ICU Patients with Diabetes and Atrial Fibrillation: A Machine Learning Approach
by: Sun, Li, et al.
Published: (2025)