:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Hoyt, Garrik, Chatterjee, Noyonica, Battaglia, Fortunato, Basu, Paramita
Format:	Preprint
Published:	2025
Subjects:	Machine Learning
Online Access:	https://arxiv.org/abs/2502.09781
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Study of the impact of introducing a multimedia learning tool in podiatric medical courses
by: Garrik Hoyt, et al.
Published: (2024)

RSTGCN: Railway-centric Spatio-Temporal Graph Convolutional Network for Train Delay Prediction
by: Chowdhury, Koyena, et al.
Published: (2025)

Developing the Temporal Graph Convolutional Neural Network Model to Predict Hip Replacement using Electronic Health Records
by: Hancox, Zoe, et al.
Published: (2024)

HealthGAT: Node Classifications in Electronic Health Records using Graph Attention Networks
by: Piya, Fahmida Liza, et al.
Published: (2024)

Inference of Dependency Knowledge Graph for Electronic Health Records
by: Xu, Zhiwei, et al.
Published: (2023)

Ensemble BERT for Medication Event Classification on Electronic Health Records (EHRs)
by: Sarker, Shouvon, et al.
Published: (2025)

Automated Fusion of Multimodal Electronic Health Records for Better Medical Predictions
by: Cui, Suhan, et al.
Published: (2024)

Automated Hierarchical Graph Construction for Multi-source Electronic Health Records
by: Wang, Yinjie, et al.
Published: (2025)

GraphWalker: Graph-Guided In-Context Learning for Clinical Reasoning on Electronic Health Records
by: Fang, Yue, et al.
Published: (2026)

KAT-GNN: A Knowledge-Augmented Temporal Graph Neural Network for Risk Prediction in Electronic Health Records
by: Lin, Kun-Wei, et al.
Published: (2025)

Multi-task Heterogeneous Graph Learning on Electronic Health Records
by: Chan, Tsai Hor, et al.
Published: (2024)

Zero-shot Medical Event Prediction Using a Generative Pre-trained Transformer on Electronic Health Records
by: Redekop, Ekaterina, et al.
Published: (2025)

The Taxonomies, Training, and Applications of Event Stream Modelling for Electronic Health Records
by: Zhu, Mingcheng, et al.
Published: (2026)

Temporal Subtyping of Alzheimer's Disease Using Medical Conditions Preceding Alzheimer's Disease Onset in Electronic Health Records
by: He, Zhe, et al.
Published: (2022)

Identifying Dementia Subtypes with Electronic Health Records
by: Kumar, Sayantan, et al.
Published: (2022)

Self-supervised Representation Learning on Electronic Health Records with Graph Kernel Infomax
by: Yao, Hao-Ren, et al.
Published: (2022)

Sequential Inference of Hospitalization Electronic Health Records Using Probabilistic Models
by: Kaplan, Alan D., et al.
Published: (2024)

Text Classification using Graph Convolutional Networks: A Comprehensive Survey
by: Rizvi, Syed Mustafa Haider, et al.
Published: (2024)

MedRep: Medical Concept Representation for General Electronic Health Record Foundation Models
by: Kim, Junmo, et al.
Published: (2025)

A Generative Approach for Semantic Auditing of Electronic Health Records
by: Girshovitz, Irena, et al.
Published: (2025)

Guided Discrete Diffusion for Electronic Health Record Generation
by: Han, Jun, et al.
Published: (2024)

Contrastive Learning on Multimodal Analysis of Electronic Health Records
by: Cai, Tianxi, et al.
Published: (2024)

Early Detection of Pancreatic Cancer Using Multimodal Learning on Electronic Health Records
by: Aouad, Mosbah, et al.
Published: (2025)

A Comprehensive Benchmark for COVID-19 Predictive Modeling Using Electronic Health Records in Intensive Care
by: Gao, Junyi, et al.
Published: (2022)

Review of blockchain application with Graph Neural Networks, Graph Convolutional Networks and Convolutional Neural Networks
by: Ancelotti, Amy, et al.
Published: (2024)

A review of Generative Adversarial Networks for Electronic Health Records: applications, evaluation measures and data sources
by: Ghosheh, Ghadeer, et al.
Published: (2022)

Beyond Traditional Surveillance: Harnessing Expert Knowledge for Public Health Forecasting
by: Hoyt, Garrik, et al.
Published: (2025)

Time-Aware Attention for Enhanced Electronic Health Records Modeling
by: Yu, Junhan, et al.
Published: (2025)

Causal Fairness Assessment of Treatment Allocation with Electronic Health Records
by: Zhang, Linying, et al.
Published: (2022)

Imputation of Unknown Missingness in Sparse Electronic Health Records
by: Han, Jun, et al.
Published: (2026)

Recent Advances in Predictive Modeling with Electronic Health Records
by: Wang, Jiaqi, et al.
Published: (2024)

Foundation Model of Electronic Medical Records for Adaptive Risk Estimation
by: Renc, Pawel, et al.
Published: (2025)

A Common Pipeline for Harmonizing Electronic Health Record Data for Translational Research
by: Gronsbell, Jessica, et al.
Published: (2025)

Crime Hotspot Prediction Using Deep Graph Convolutional Networks
by: Zubair, Tehreem, et al.
Published: (2025)

Structure-aware Hypergraph Transformer for Diagnosis Prediction in Electronic Health Records
by: Wang, Haiyan, et al.
Published: (2025)

Mining Electronic Health Records to Investigate Effectiveness of Ensemble Deep Clustering
by: Samad, Manar D., et al.
Published: (2026)

EHRMamba: Towards Generalizable and Scalable Foundation Models for Electronic Health Records
by: Fallahpour, Adibvafa, et al.
Published: (2024)

Understanding Missingness in Time-series Electronic Health Records for Individualized Representation
by: Ghosheh, Ghadeer O., et al.
Published: (2024)

Synthesizing Multimodal Electronic Health Records via Predictive Diffusion Models
by: Zhong, Yuan, et al.
Published: (2024)

Interpretable Neural Temporal Point Processes for Modelling Electronic Health Records
by: Liu, Bingqing
Published: (2024)