Structure-aware Hypergraph Transformer for Diagnosis Prediction in Electronic Health Records
Fuente:
arXiv
Saved in:
| Main Authors: | Wang, Haiyan, Yuan, Ye |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Recent Advances in Predictive Modeling with Electronic Health Records
by: Wang, Jiaqi, et al.
Published: (2024)
by: Wang, Jiaqi, et al.
Published: (2024)
Synthesizing Multimodal Electronic Health Records via Predictive Diffusion Models
by: Zhong, Yuan, et al.
Published: (2024)
by: Zhong, Yuan, et al.
Published: (2024)
Automated Fusion of Multimodal Electronic Health Records for Better Medical Predictions
by: Cui, Suhan, et al.
Published: (2024)
by: Cui, Suhan, et al.
Published: (2024)
Predictive Modeling with Temporal Graphical Representation on Electronic Health Records
by: Chen, Jiayuan, et al.
Published: (2024)
by: Chen, Jiayuan, et al.
Published: (2024)
Hyperedge Interaction-aware Hypergraph Neural Network
by: Ye, Rongping, et al.
Published: (2024)
by: Ye, Rongping, et al.
Published: (2024)
Hypergraph Transformer for Semi-Supervised Classification
by: Liu, Zexi, et al.
Published: (2023)
by: Liu, Zexi, et al.
Published: (2023)
MUSE-Net: Missingness-aware mUlti-branching Self-attention Encoder for Irregular Longitudinal Electronic Health Records
by: Wang, Zekai, et al.
Published: (2024)
by: Wang, Zekai, 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)
by: Redekop, Ekaterina, et al.
Published: (2025)
Self-Explaining Hypergraph Neural Networks for Diagnosis Prediction
by: Yu, Leisheng, et al.
Published: (2025)
by: Yu, Leisheng, et al.
Published: (2025)
SynEHRgy: Synthesizing Mixed-Type Structured Electronic Health Records using Decoder-Only Transformers
by: Karami, Hojjat, et al.
Published: (2024)
by: Karami, Hojjat, et al.
Published: (2024)
EHRMamba: Towards Generalizable and Scalable Foundation Models for Electronic Health Records
by: Fallahpour, Adibvafa, et al.
Published: (2024)
by: Fallahpour, Adibvafa, et al.
Published: (2024)
Automated Multi-Task Learning for Joint Disease Prediction on Electronic Health Records
by: Cui, Suhan, et al.
Published: (2024)
by: Cui, Suhan, et al.
Published: (2024)
CAAT-EHR: Cross-Attentional Autoregressive Transformer for Multimodal Electronic Health Record Embeddings
by: Olaimat, Mohammad Al, et al.
Published: (2025)
by: Olaimat, Mohammad Al, et al.
Published: (2025)
Early Risk Prediction of Pediatric Cardiac Arrest from Electronic Health Records via Multimodal Fused Transformer
by: Lu, Jiaying, et al.
Published: (2025)
by: Lu, Jiaying, 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)
by: Gao, Junyi, et al.
Published: (2022)
Integrated Analysis for Electronic Health Records with Structured and Sporadic Missingness
by: Tan, Jianbin, et al.
Published: (2025)
by: Tan, Jianbin, et al.
Published: (2025)
Identifying Dementia Subtypes with Electronic Health Records
by: Kumar, Sayantan, et al.
Published: (2022)
by: Kumar, Sayantan, et al.
Published: (2022)
TEE4EHR: Transformer Event Encoder for Better Representation Learning in Electronic Health Records
by: Karami, Hojjat, et al.
Published: (2024)
by: Karami, Hojjat, et al.
Published: (2024)
Cluster-Enhanced Federated Graph Neural Network for Recommendation
by: Wang, Haiyan, et al.
Published: (2024)
by: Wang, Haiyan, et al.
Published: (2024)
TA-RNN: an Attention-based Time-aware Recurrent Neural Network Architecture for Electronic Health Records
by: Olaimat, Mohammad Al, et al.
Published: (2024)
by: Olaimat, Mohammad Al, et al.
Published: (2024)
Prompting Large Language Models for Zero-Shot Clinical Prediction with Structured Longitudinal Electronic Health Record Data
by: Zhu, Yinghao, et al.
Published: (2024)
by: Zhu, Yinghao, et al.
Published: (2024)
Causal Fairness Assessment of Treatment Allocation with Electronic Health Records
by: Zhang, Linying, et al.
Published: (2022)
by: Zhang, Linying, et al.
Published: (2022)
Equitable Electronic Health Record Prediction with FAME: Fairness-Aware Multimodal Embedding
by: Hooman, Nikkie, et al.
Published: (2025)
by: Hooman, Nikkie, et al.
Published: (2025)
Multi-lingual Multi-institutional Electronic Health Record based Predictive Model
by: Hur, Kyunghoon, et al.
Published: (2026)
by: Hur, Kyunghoon, et al.
Published: (2026)
LabTOP: A Unified Model for Lab Test Outcome Prediction on Electronic Health Records
by: Im, Sujeong, et al.
Published: (2025)
by: Im, Sujeong, et al.
Published: (2025)
SPHINX: Structural Prediction using Hypergraph Inference Network
by: Duta, Iulia, et al.
Published: (2024)
by: Duta, Iulia, et al.
Published: (2024)
KAT-GNN: A Knowledge-Augmented Temporal Graph Neural Network for Risk Prediction in Electronic Health Records
by: Lin, Kun-Wei, et al.
Published: (2025)
by: Lin, Kun-Wei, et al.
Published: (2025)
A Common Pipeline for Harmonizing Electronic Health Record Data for Translational Research
by: Gronsbell, Jessica, et al.
Published: (2025)
by: Gronsbell, Jessica, et al.
Published: (2025)
Guided Discrete Diffusion for Electronic Health Record Generation
by: Han, Jun, et al.
Published: (2024)
by: Han, Jun, et al.
Published: (2024)
Contrastive Learning on Multimodal Analysis of Electronic Health Records
by: Cai, Tianxi, et al.
Published: (2024)
by: Cai, Tianxi, et al.
Published: (2024)
Automated Hierarchical Graph Construction for Multi-source Electronic Health Records
by: Wang, Yinjie, et al.
Published: (2025)
by: Wang, Yinjie, et al.
Published: (2025)
Time-aware Heterogeneous Graph Transformer with Adaptive Attention Merging for Health Event Prediction
by: Li, Shibo, et al.
Published: (2024)
by: Li, Shibo, et al.
Published: (2024)
Machine Learning Approaches to Clinical Risk Prediction: Multi-Scale Temporal Alignment in Electronic Health Records
by: Chang, Wei-Chen, et al.
Published: (2025)
by: Chang, Wei-Chen, et al.
Published: (2025)
TrajSurv: Learning Continuous Latent Trajectories from Electronic Health Records for Trustworthy Survival Prediction
by: Zeng, Sihang, et al.
Published: (2025)
by: Zeng, Sihang, et al.
Published: (2025)
Causal Machine Learning for Patient-Level Intraoperative Opioid Dose Prediction from Electronic Health Records
by: Andersena, Jonas Valbjørn, et al.
Published: (2025)
by: Andersena, Jonas Valbjørn, et al.
Published: (2025)
Dialysis Risk Prediction and Treatment Effect Estimation for AKI patients using Longitudinal Electronic Health Records
by: Pande, Kalyani P., et al.
Published: (2026)
by: Pande, Kalyani P., et al.
Published: (2026)
Causal Explainability of Machine Learning in Heart Failure Prediction from Electronic Health Records
by: Hou, Yina, et al.
Published: (2025)
by: Hou, Yina, et al.
Published: (2025)
An Interpretable Deep-Learning Framework for Predicting Hospital Readmissions From Electronic Health Records
by: Azzalini, Fabio, et al.
Published: (2023)
by: Azzalini, Fabio, et al.
Published: (2023)
Inference of Dependency Knowledge Graph for Electronic Health Records
by: Xu, Zhiwei, et al.
Published: (2023)
by: Xu, Zhiwei, et al.
Published: (2023)
A Generative Approach for Semantic Auditing of Electronic Health Records
by: Girshovitz, Irena, et al.
Published: (2025)
by: Girshovitz, Irena, et al.
Published: (2025)
Similar Items
-
Recent Advances in Predictive Modeling with Electronic Health Records
by: Wang, Jiaqi, et al.
Published: (2024) -
Synthesizing Multimodal Electronic Health Records via Predictive Diffusion Models
by: Zhong, Yuan, et al.
Published: (2024) -
Automated Fusion of Multimodal Electronic Health Records for Better Medical Predictions
by: Cui, Suhan, et al.
Published: (2024) -
Predictive Modeling with Temporal Graphical Representation on Electronic Health Records
by: Chen, Jiayuan, et al.
Published: (2024) -
Hyperedge Interaction-aware Hypergraph Neural Network
by: Ye, Rongping, et al.
Published: (2024)