Cover Image

AZT1D: A Real-World Dataset for Type 1 Diabetes

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Khamesian, Saman, Arefeen, Asiful, Thompson, Bithika M., Grando, Maria Adela, Ghasemzadeh, Hassan
Format:	Preprint
Published:	2025
Subjects:	Machine Learning Quantitative Methods
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Glycemic-Aware and Architecture-Agnostic Training Framework for Blood Glucose Forecasting in Type 1 Diabetes
by: Khamesian, Saman, et al.
Published: (2025)

GlyTwin: Digital Twin for Glucose Control in Type 1 Diabetes Through Optimal Behavioral Modifications Using Patient-Centric Counterfactuals
by: Arefeen, Asiful, et al.
Published: (2025)

NutriGen: Personalized Meal Plan Generator Leveraging Large Language Models to Enhance Dietary and Nutritional Adherence
by: Khamesian, Saman, et al.
Published: (2025)

A Real-Time Digital Twin for Type 1 Diabetes using Simulation-Based Inference
by: Hoang, Trung-Dung, et al.
Published: (2025)

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

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

Designing User-Centric Behavioral Interventions to Prevent Dysglycemia with Novel Counterfactual Explanations
by: Arefeen, Asiful, et al.
Published: (2023)

Beyond Glucose-Only Assessment: Advancing Nocturnal Hypoglycemia Prediction in Children with Type 1 Diabetes
by: Voegeli, Marco, et al.
Published: (2025)

Transformer-Based Multi-Modal Temporal Embeddings for Explainable Metabolic Phenotyping in Type 1 Diabetes
by: Khokhar, Pir Bakhsh, et al.
Published: (2026)

Predicting Emergency Department Visits for Patients with Type II Diabetes
by: Alizadeh, Javad M, et al.
Published: (2024)

MetaboNet: The Largest Publicly Available Consolidated Dataset for Type 1 Diabetes Management
by: Wolff, Miriam K., et al.
Published: (2026)

CAN-STRESS: A Real-World Multimodal Dataset for Understanding Cannabis Use, Stress, and Physiological Responses
by: Azghan, Reza Rahimi, et al.
Published: (2025)

RealAC: A Domain-Agnostic Framework for Realistic and Actionable Counterfactual Explanations
by: Arefeen, Asiful, et al.
Published: (2025)

Temporal patterns in insulin needs for Type 1 diabetes
by: Degen, Isabella, et al.
Published: (2022)

A Physiologically-Constrained Neural Network Digital Twin Framework for Replicating Glucose Dynamics in Type 1 Diabetes
by: Roquemen-Echeverri, Valentina, et al.
Published: (2025)

PhysioSeq2Seq: A Hybrid Physiological Digital Twin and Sequence-to-Sequence LSTM for Long-Horizon Glucose Forecasting in Type 1 Diabetes
by: Tran, Phat, et al.
Published: (2026)

Effect of Clinical History on Predictive Model Performance for Renal Complications of Diabetes
by: Cas, Davide Dei, et al.
Published: (2024)

Supervised Learning Models for Early Detection of Albuminuria Risk in Type-2 Diabetes Mellitus Patients
by: Muharram, Arief Purnama, et al.
Published: (2023)

Can Breath Biomarkers Causally Influence Blood Glucose? Investigating VOC-Mediated Modulation in Diabetes
by: Sharma, Varsha, et al.
Published: (2026)

KinDEL: DNA-Encoded Library Dataset for Kinase Inhibitors
by: Chen, Benson, et al.
Published: (2024)

Attention-Based Multimodal Survival Prediction with Cross-Modal Bilinear Fusion
by: Keshvarikhojasteh, Hassan, et al.
Published: (2026)

A Stage-Aware Mixture of Experts Framework for Neurodegenerative Disease Progression Modelling
by: He, Tiantian, et al.
Published: (2025)

NExT-Mol: 3D Diffusion Meets 1D Language Modeling for 3D Molecule Generation
by: Liu, Zhiyuan, et al.
Published: (2025)

MC-NN: An End-to-End Multi-Channel Neural Network Approach for Predicting Influenza A Virus Hosts and Antigenic Types
by: Xu, Yanhua, et al.
Published: (2023)

Med-Real2Sim: Non-Invasive Medical Digital Twins using Physics-Informed Self-Supervised Learning
by: Kuang, Keying, et al.
Published: (2024)

ET-Flow: Equivariant Flow-Matching for Molecular Conformer Generation
by: Hassan, Majdi, et al.
Published: (2024)

Forest tree species classification and entropy-derived uncertainty mapping using extreme gradient boosting and Sentinel-1/2 satellite data
by: Abdi, Abdulhakim M., et al.
Published: (2025)

Incorporating temporal dynamics of mutations to enhance the prediction capability of antiretroviral therapy's outcome for HIV-1
by: Di Teodoro, Giulia, et al.
Published: (2023)

Efficient Identification of High Similarity Clusters in Polygon Datasets
by: Daras, John N.
Published: (2025)

3D molecule generation by denoising voxel grids
by: Pinheiro, Pedro O., et al.
Published: (2023)

Breaking the Bottlenecks: Scalable Diffusion Models for 3D Molecular Generation
by: Das, Adrita, et al.
Published: (2026)

Physics-Informed Neural Networks for Biological $2\mathrm{D}{+}t$ Reaction-Diffusion Systems
by: Lavery, William, et al.
Published: (2026)

GlucoBench: Curated List of Continuous Glucose Monitoring Datasets with Prediction Benchmarks
by: Sergazinov, Renat, et al.
Published: (2024)

Exploring Biomarker Relationships in Both Type 1 and Type 2 Diabetes Mellitus Through a Bayesian Network Analysis Approach
by: Sun, Yuyang, et al.
Published: (2024)

Application of Machine Learning Algorithms in Classifying Postoperative Success in Metabolic Bariatric Surgery: A Comprehensive Study
by: Benítez-Andrades, José Alberto, et al.
Published: (2024)

A Morse Transform for Drug Discovery
by: Tanaka, Alexander M., et al.
Published: (2025)

A Large Sensor Foundation Model Pretrained on Continuous Glucose Monitor Data for Diabetes Management
by: Luo, Junjie, et al.
Published: (2024)

BioCube: A Multimodal Dataset for Biodiversity Research
by: Stasinos, Stylianos, et al.
Published: (2025)

The Sim-to-Real Gap in MRS Quantification: A Systematic Deep Learning Validation for GABA
by: Ma, Zien, et al.
Published: (2026)

A Causal Framework for Precision Rehabilitation
by: Cotton, R. James, et al.
Published: (2024)