Cover Image

Deep Learning-Based Hypoglycemia Classification Across Multiple Prediction Horizons

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Cinar, Beyza, Onwuchekwa, Jennifer Daniel, Maleshkova, Maria
Format:	Preprint
Published:	2025
Subjects:	Quantitative Methods Artificial Intelligence Machine Learning Applications
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

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

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)

Prostate Cancer Classification Using Multimodal Feature Fusion and Explainable AI
by: Khan, Asma Sadia, et al.
Published: (2025)

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

Improving statistical learning methods via features selection without replacement sampling and random projection
by: khan, Sulaiman, et al.
Published: (2025)

Can synthetic data reproduce real-world findings in epidemiology? A replication study using adversarial random forests
by: Kapar, Jan, et al.
Published: (2025)

Learning from Two Decades of Blood Pressure Data: Demography-Specific Patterns Across 75 Million Patient Encounters
by: Mousavi, Seyedeh Somayyeh, et al.
Published: (2024)

Machine Learning Classification of Alzheimer's Disease Stages Using Cerebrospinal Fluid Biomarkers Alone
by: Tiwari, Vivek Kumar, et al.
Published: (2024)

Mixed Models with Multiple Instance Learning
by: Engelmann, Jan P., et al.
Published: (2023)

Contextual Phenotyping of Pediatric Sepsis Cohort Using Large Language Models
by: Nagori, Aditya, et al.
Published: (2025)

Early Prediction of Alzheimer's and Related Dementias: A Machine Learning Approach Utilizing Social Determinants of Health Data
by: Kindo, Bereket, et al.
Published: (2025)

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

Towards a Foundation Model for Brain Age Prediction using coVariance Neural Networks
by: Sihag, Saurabh, et al.
Published: (2024)

XAI-Driven Deep Learning for Protein Sequence Functional Group Classification
by: Chakraborty, Pratik, et al.
Published: (2025)

DeepFM-Crispr: Prediction of CRISPR On-Target Effects via Deep Learning
by: Bao, Condy, et al.
Published: (2024)

Horizon-wise Learning Paradigm Promotes Gene Splicing Identification
by: Li, Qi-Jie, et al.
Published: (2024)

Graphical Structural Learning of rs-fMRI data in Heavy Smokers
by: Gong, Yiru, et al.
Published: (2024)

CardiGraphormer: Unveiling the Power of Self-Supervised Learning in Revolutionizing Drug Discovery
by: Gupta, Abhijit
Published: (2023)

SCOPE-DTI: Semi-Inductive Dataset Construction and Framework Optimization for Practical Usability Enhancement in Deep Learning-Based Drug Target Interaction Prediction
by: Chen, Yigang, et al.
Published: (2025)

Deep Learning Model for Amyloidogenicity Prediction using a Pre-trained Protein LLM
by: Yagoub, Zohra, et al.
Published: (2025)

Multimodal Integration of Longitudinal Noninvasive Diagnostics for Survival Prediction in Immunotherapy Using Deep Learning
by: Yeghaian, Melda, et al.
Published: (2024)

A New Deep-learning-Based Approach For mRNA Optimization: High Fidelity, Computation Efficiency, and Multiple Optimization Factors
by: Gong, Zheng, et al.
Published: (2025)

Correlation vs causation in Alzheimer's disease: an interpretability-driven study
by: Dabool, Hamzah, et al.
Published: (2025)

Feasibility of Identifying Factors Related to Alzheimer's Disease and Related Dementia in Real-World Data
by: Chen, Aokun, et al.
Published: (2024)

Research on Adverse Drug Reaction Prediction Model Combining Knowledge Graph Embedding and Deep Learning
by: Li, Yufeng, et al.
Published: (2024)

A Systematic Survey and Benchmark of Deep Learning for Molecular Property Prediction in the Foundation Model Era
by: Li, Zongru, et al.
Published: (2026)

Binding Affinity Prediction: From Conventional to Machine Learning-Based Approaches
by: Liu, Xuefeng, et al.
Published: (2024)

DeepProtein: Deep Learning Library and Benchmark for Protein Sequence Learning
by: Xie, Jiaqing, et al.
Published: (2024)

EquiCPI: SE(3)-Equivariant Geometric Deep Learning for Structure-Aware Prediction of Compound-Protein Interactions
by: Nguyen, Ngoc-Quang
Published: (2025)

BDPM: A Machine Learning-Based Feature Extractor for Parkinson's Disease Classification via Gut Microbiota Analysis
by: Yu, Bo, et al.
Published: (2025)

Hierarchical Molecular Representation Learning via Fragment-Based Self-Supervised Embedding Prediction
by: Wu, Jiele, et al.
Published: (2026)

Aneurysm Growth Time Series Reconstruction Using Physics-informed Autoencoder
by: Wu, Jiacheng
Published: (2025)

High-dimensional point forecast combinations for emergency department demand
by: Guo, Peihong, et al.
Published: (2025)

Advancing Tabular Stroke Modelling Through a Novel Hybrid Architecture and Feature-Selection Synergy
by: Islam, Yousuf, et al.
Published: (2025)

Machine learning algorithms to predict stroke in China based on causal inference of time series analysis
by: Zheng, Qizhi, et al.
Published: (2025)

Stimulation of soy seeds using environmentally friendly magnetic and electric fields
by: Dziwulska-Hunek, Agata, et al.
Published: (2022)

Permutation invariant multi-output Gaussian Processes for drug combination prediction in cancer
by: Rønneberg, Leiv, et al.
Published: (2024)

Pruning neural network models for gene regulatory dynamics using data and domain knowledge
by: Hossain, Intekhab, et al.
Published: (2024)

Multimodality Stacking with Blockwise missing values and application to the PIONeeR biomarkers study for prediction of resistance to immunotherapy
by: Boussena, Mohamed, et al.
Published: (2026)