Saved in:
| Main Authors: | Liao, Ling, Aagaard, Eva |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2507.21197 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Time-Aware Attention for Enhanced Electronic Health Records Modeling
by: Yu, Junhan, et al.
Published: (2025)
by: Yu, Junhan, 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)
GraphWalker: Graph-Guided In-Context Learning for Clinical Reasoning on Electronic Health Records
by: Fang, Yue, et al.
Published: (2026)
by: Fang, Yue, et al.
Published: (2026)
Benchmarking Foundation Models with Multimodal Public Electronic Health Records
by: Yu, Kunyu, et al.
Published: (2025)
by: Yu, Kunyu, et al.
Published: (2025)
Dynamical Label Augmentation and Calibration for Noisy Electronic Health Records
by: Li, Yuhao, et al.
Published: (2025)
by: Li, Yuhao, et al.
Published: (2025)
MedM2T: A MultiModal Framework for Time-Aware Modeling with Electronic Health Record and Electrocardiogram Data
by: Kuo, Yu-Chen, et al.
Published: (2025)
by: Kuo, Yu-Chen, et al.
Published: (2025)
EHR-RAGp: Retrieval-Augmented Prototype-Guided Foundation Model for Electronic Health Records
by: Shurrab, Saeed, et al.
Published: (2026)
by: Shurrab, Saeed, et al.
Published: (2026)
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)
Recent Advances in Predictive Modeling with Electronic Health Records
by: Wang, Jiaqi, et al.
Published: (2024)
by: Wang, Jiaqi, et al.
Published: (2024)
Identifying Dementia Subtypes with Electronic Health Records
by: Kumar, Sayantan, et al.
Published: (2022)
by: Kumar, Sayantan, et al.
Published: (2022)
Tree-Guided Rare Feature Selection and Logic Aggregation with Electronic Health Records Data
by: Chen, Jianmin, et al.
Published: (2022)
by: Chen, Jianmin, et al.
Published: (2022)
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)
Synthesizing Multimodal Electronic Health Records via Predictive Diffusion Models
by: Zhong, Yuan, et al.
Published: (2024)
by: Zhong, Yuan, et al.
Published: (2024)
Interpretable Neural Temporal Point Processes for Modelling Electronic Health Records
by: Liu, Bingqing
Published: (2024)
by: Liu, Bingqing
Published: (2024)
Enhancing Phenotype Discovery in Electronic Health Records through Prior Knowledge-Guided Unsupervised Learning
by: Mayer, Melanie, et al.
Published: (2025)
by: Mayer, Melanie, et al.
Published: (2025)
Predictive Modeling with Temporal Graphical Representation on Electronic Health Records
by: Chen, Jiayuan, et al.
Published: (2024)
by: Chen, Jiayuan, 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)
Subgroup Analysis via Model-based Rule Forest
by: Cheng, I-Ling, et al.
Published: (2024)
by: Cheng, I-Ling, et al.
Published: (2024)
Inference of Dependency Knowledge Graph for Electronic Health Records
by: Xu, Zhiwei, et al.
Published: (2023)
by: Xu, Zhiwei, et al.
Published: (2023)
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)
Sequential Inference of Hospitalization Electronic Health Records Using Probabilistic Models
by: Kaplan, Alan D., et al.
Published: (2024)
by: Kaplan, Alan D., et al.
Published: (2024)
The Taxonomies, Training, and Applications of Event Stream Modelling for Electronic Health Records
by: Zhu, Mingcheng, et al.
Published: (2026)
by: Zhu, Mingcheng, et al.
Published: (2026)
A Generative Approach for Semantic Auditing of Electronic Health Records
by: Girshovitz, Irena, et al.
Published: (2025)
by: Girshovitz, Irena, et al.
Published: (2025)
Large Language Models are Powerful Electronic Health Record Encoders
by: Hegselmann, Stefan, et al.
Published: (2025)
by: Hegselmann, Stefan, et al.
Published: (2025)
Causal Fairness Assessment of Treatment Allocation with Electronic Health Records
by: Zhang, Linying, et al.
Published: (2022)
by: Zhang, Linying, et al.
Published: (2022)
Imputation of Unknown Missingness in Sparse Electronic Health Records
by: Han, Jun, et al.
Published: (2026)
by: Han, Jun, et al.
Published: (2026)
Multi-lingual Multi-institutional Electronic Health Record based Predictive Model
by: Hur, Kyunghoon, et al.
Published: (2026)
by: Hur, Kyunghoon, et al.
Published: (2026)
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)
Automated Hierarchical Graph Construction for Multi-source Electronic Health Records
by: Wang, Yinjie, et al.
Published: (2025)
by: Wang, Yinjie, et al.
Published: (2025)
Structure-aware Hypergraph Transformer for Diagnosis Prediction in Electronic Health Records
by: Wang, Haiyan, et al.
Published: (2025)
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)
by: Samad, Manar D., et al.
Published: (2026)
Understanding Missingness in Time-series Electronic Health Records for Individualized Representation
by: Ghosheh, Ghadeer O., et al.
Published: (2024)
by: Ghosheh, Ghadeer O., et al.
Published: (2024)
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)
FairEHR-CLP: Towards Fairness-Aware Clinical Predictions with Contrastive Learning in Multimodal Electronic Health Records
by: Wang, Yuqing, et al.
Published: (2024)
by: Wang, Yuqing, et al.
Published: (2024)
Multi-task Heterogeneous Graph Learning on Electronic Health Records
by: Chan, Tsai Hor, et al.
Published: (2024)
by: Chan, Tsai Hor, et al.
Published: (2024)
CEHR-XGPT: A Scalable Multi-Task Foundation Model for Electronic Health Records
by: Pang, Chao, et al.
Published: (2025)
by: Pang, Chao, et al.
Published: (2025)
Latent Factor Point Processes for Patient Representation in Electronic Health Records
by: Knight, Parker, et al.
Published: (2025)
by: Knight, Parker, et al.
Published: (2025)
Causal thinking for decision making on Electronic Health Records: why and how
by: Doutreligne, Matthieu, et al.
Published: (2023)
by: Doutreligne, Matthieu, et al.
Published: (2023)
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)
TimEHR: Image-based Time Series Generation for Electronic Health Records
by: Karami, Hojjat, et al.
Published: (2024)
by: Karami, Hojjat, et al.
Published: (2024)
Similar Items
-
Time-Aware Attention for Enhanced Electronic Health Records Modeling
by: Yu, Junhan, et al.
Published: (2025) -
Guided Discrete Diffusion for Electronic Health Record Generation
by: Han, Jun, et al.
Published: (2024) -
GraphWalker: Graph-Guided In-Context Learning for Clinical Reasoning on Electronic Health Records
by: Fang, Yue, et al.
Published: (2026) -
Benchmarking Foundation Models with Multimodal Public Electronic Health Records
by: Yu, Kunyu, et al.
Published: (2025) -
Dynamical Label Augmentation and Calibration for Noisy Electronic Health Records
by: Li, Yuhao, et al.
Published: (2025)