Copertina

Glycemic-Aware and Architecture-Agnostic Training Framework for Blood Glucose Forecasting in Type 1 Diabetes

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Khamesian, Saman, Arefeen, Asiful, Grando, Maria Adela, Thompson, Bithika M., Ghasemzadeh, Hassan
Natura:	Preprint
Pubblicazione:	2025
Soggetti:	Machine Learning Artificial Intelligence
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

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

AZT1D: A Real-World Dataset for Type 1 Diabetes
di: Khamesian, Saman, et al.
Pubblicazione: (2025)

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

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

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

SenseCF: LLM-Prompted Counterfactuals for Intervention and Sensor Data Augmentation
di: Soumma, Shovito Barua, et al.
Pubblicazione: (2025)

GlyRAG: Context-Aware Retrieval-Augmented Framework for Blood Glucose Forecasting
di: Soumma, Shovito Barua, et al.
Pubblicazione: (2026)

LLM-Powered Prediction of Hyperglycemia and Discovery of Behavioral Treatment Pathways from Wearables and Diet
di: Mamun, Abdullah, et al.
Pubblicazione: (2025)

AttenGluco: Multimodal Transformer-Based Blood Glucose Forecasting on AI-READI Dataset
di: Farahmand, Ebrahim, et al.
Pubblicazione: (2025)

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

AIMI: Leveraging Future Knowledge and Personalization in Sparse Event Forecasting for Treatment Adherence
di: Mamun, Abdullah, et al.
Pubblicazione: (2025)

MealMeter: Using Multimodal Sensing and Machine Learning for Automatically Estimating Nutrition Intake
di: Arefeen, Asiful, et al.
Pubblicazione: (2025)

GUIDE: Reinforcement Learning for Behavioral Action Support in Type 1 Diabetes
di: Khamesian, Saman, et al.
Pubblicazione: (2026)

Counterfactual Modeling with Fine-Tuned LLMs for Health Intervention Design and Sensor Data Augmentation
di: Soumma, Shovito Barua, et al.
Pubblicazione: (2026)

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

The Driver-Blindness Phenomenon: Why Deep Sequence Models Default to Autocorrelation in Blood Glucose Forecasting
di: Shakeri, Heman
Pubblicazione: (2025)

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

A Lightweight Explainable Guardrail for Prompt Safety
di: Islam, Md Asiful, et al.
Pubblicazione: (2026)

Multimodal Physical Activity Forecasting in Free-Living Clinical Settings: Hunting Opportunities for Just-in-Time Interventions
di: Mamun, Abdullah, et al.
Pubblicazione: (2024)

Human-Level Reasoning: A Comparative Study of Large Language Models on Logical and Abstract Reasoning
di: Moreira, Benjamin Grando
Pubblicazione: (2025)

Evaluating Generative AI-Enhanced Content: A Conceptual Framework Using Qualitative, Quantitative, and Mixed-Methods Approaches
di: Sarraf, Saman
Pubblicazione: (2024)

Self-Supervised Learning and Opportunistic Inference for Continuous Monitoring of Freezing of Gait in Parkinson's Disease
di: Soumma, Shovito Barua, et al.
Pubblicazione: (2024)

DAST: A Dual-Stream Voice Anonymization Attacker with Staged Training
di: Arefeen, Ridwan, et al.
Pubblicazione: (2026)

Reasoning-Aware Training for Time Series Forecasting
di: Ahamed, Md Atik, et al.
Pubblicazione: (2026)

An Improved Strategy for Blood Glucose Control Using Multi-Step Deep Reinforcement Learning
di: Gu, Weiwei, et al.
Pubblicazione: (2024)

Enhancing Metabolic Syndrome Prediction with Hybrid Data Balancing and Counterfactuals
di: Shah, Sanyam Paresh, et al.
Pubblicazione: (2025)

Learning Probabilistic Symmetrization for Architecture Agnostic Equivariance
di: Kim, Jinwoo, et al.
Pubblicazione: (2023)

Sensitivity-Guided Framework for Pruned and Quantized Reservoir Computing Accelerators
di: Jafari, Atousa, et al.
Pubblicazione: (2026)

Flexible Blood Glucose Control: Offline Reinforcement Learning from Human Feedback
di: Emerson, Harry, et al.
Pubblicazione: (2025)

Blood Glucose Control Via Pre-trained Counterfactual Invertible Neural Networks
di: Jiang, Jingchi, et al.
Pubblicazione: (2024)

Interpretable Vital Sign Forecasting with Model Agnostic Attention Maps
di: Liu, Yuwei, et al.
Pubblicazione: (2024)

Complex System Diagnostics Using a Knowledge Graph-Informed and Large Language Model-Enhanced Framework
di: Marandi, Saman, et al.
Pubblicazione: (2025)

Domain-Agnostic Scalable AI Safety Ensuring Framework
di: Kim, Beomjun, et al.
Pubblicazione: (2025)

Platform-Agnostic Modular Architecture for Quantum Benchmarking
di: Patel, Neer, et al.
Pubblicazione: (2025)

Task Agnostic Architecture for Algorithm Induction via Implicit Composition
di: Sindhi, Sahil J., et al.
Pubblicazione: (2024)

Enhanced SegNet with Integrated Grad-CAM for Interpretable Retinal Layer Segmentation in OCT Images
di: Saky, S M Asiful Islam, et al.
Pubblicazione: (2025)

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

A Comparative Study of Transformer-Based Models for Multi-Horizon Blood Glucose Prediction
di: Karagoz, Meryem Altin, et al.
Pubblicazione: (2025)

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

A Quantized VAE-MLP Botnet Detection Model: A Systematic Evaluation of Quantization-Aware Training and Post-Training Quantization Strategies
di: Wasswa, Hassan, et al.
Pubblicazione: (2025)