Cover Image

EHR-RAGp: Retrieval-Augmented Prototype-Guided Foundation Model for Electronic Health Records

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Shurrab, Saeed, Al-Omari, Mariam, Samad, Dana El, Shamout, Farah E.
Format:	Preprint
Published:	2026
Subjects:	Information Retrieval Artificial Intelligence Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

RAM-EHR: Retrieval Augmentation Meets Clinical Predictions on Electronic Health Records
by: Xu, Ran, et al.
Published: (2024)

DR.EHR: Dense Retrieval for Electronic Health Record with Knowledge Injection and Synthetic Data
by: Zhao, Zhengyun, et al.
Published: (2025)

Experience Retrieval-Augmentation with Electronic Health Records Enables Accurate Discharge QA
by: Ou, Justice, et al.
Published: (2025)

MixEHR-Nest: Identifying Subphenotypes within Electronic Health Records through Hierarchical Guided-Topic Modeling
by: Wang, Ruohan, et al.
Published: (2024)

EHR-SeqSQL : A Sequential Text-to-SQL Dataset For Interactively Exploring Electronic Health Records
by: Ryu, Jaehee, et al.
Published: (2024)

Retrieval-Augmented LLMs for Evidence Localization in Clinical Trial Recruitment from Longitudinal EHR Narratives
by: Chen, Ziyi, et al.
Published: (2026)

Structure Guided Retrieval-Augmented Generation for Factual Queries
by: Xie, Miao, et al.
Published: (2026)

GFM-RAG: Graph Foundation Model for Retrieval Augmented Generation
by: Luo, Linhao, et al.
Published: (2025)

Multi-modal Masked Siamese Network Improves Chest X-Ray Representation Learning
by: Shurrab, Saeed, et al.
Published: (2024)

KG-Retriever: Efficient Knowledge Indexing for Retrieval-Augmented Large Language Models
by: Chen, Weijie, et al.
Published: (2024)

LLM-Augmented Retrieval: Enhancing Retrieval Models Through Language Models and Doc-Level Embedding
by: Wu, Mingrui, et al.
Published: (2024)

Retrieval-Augmented Process Reward Model for Generalizable Mathematical Reasoning
by: Zhu, Jiachen, et al.
Published: (2025)

RuleRAG: Rule-Guided Retrieval-Augmented Generation with Language Models for Question Answering
by: Chen, Zhongwu, et al.
Published: (2024)

HypRAG: Hyperbolic Dense Retrieval for Retrieval Augmented Generation
by: Madhu, Hiren, et al.
Published: (2026)

Structured Semantics from Unstructured Notes: Language Model Approaches to EHR-Based Decision Support
by: Ran, Wu Hao, et al.
Published: (2025)

LMAR: Language Model Augmented Retriever for Domain-specific Knowledge Indexing
by: Zhao, Yao, et al.
Published: (2025)

Sensitivity-Aware Retrieval-Augmented Intent Clarification
by: Larooij, Maik
Published: (2026)

Fine-Grained Guidance for Retrievers: Leveraging LLMs' Feedback in Retrieval-Augmented Generation
by: Liu, Yuhang, et al.
Published: (2024)

AgenticRAG: Tool-Augmented Foundation Models for Zero-Shot Explainable Recommender Systems
by: Ma, Bo, et al.
Published: (2025)

Modeling Uncertainty and Using Post-fusion as Fallback Improves Retrieval Augmented Generation with LLMs
by: Liu, Ye, et al.
Published: (2023)

CCSK:Cognitive Convection of Self-Knowledge Based Retrieval Augmentation for Large Language Models
by: Lu, Jianling, et al.
Published: (2025)

Enhancing Recipe Retrieval with Foundation Models: A Data Augmentation Perspective
by: Song, Fangzhou, et al.
Published: (2023)

LightRAG: Simple and Fast Retrieval-Augmented Generation
by: Guo, Zirui, et al.
Published: (2024)

Semantic Retrieval Augmented Contrastive Learning for Sequential Recommendation
by: Cui, Ziqiang, et al.
Published: (2025)

RAGEAR: Retrieval-Augmented Graph-Enhanced Academic Recommender
by: Granata, Francesco, et al.
Published: (2026)

RAGe: A Retrieval-Augmented Generation Evaluation Framework
by: Guder, Larissa, et al.
Published: (2026)

TrustRAG: An Information Assistant with Retrieval Augmented Generation
by: Fan, Yixing, et al.
Published: (2025)

Retrieval-Augmented Generation Assistant for Anatomical Pathology Laboratories
by: Pires, Diogo, et al.
Published: (2025)

Retrieval-Augmented Purifier for Robust LLM-Empowered Recommendation
by: Ning, Liangbo, et al.
Published: (2025)

Federated Recommendation via Hybrid Retrieval Augmented Generation
by: Zeng, Huimin, et al.
Published: (2024)

StratRAG: A Multi-Hop Retrieval Evaluation Dataset for Retrieval-Augmented Generation Systems
by: Patodiya, Aryan
Published: (2026)

Lessons Learned on Information Retrieval in Electronic Health Records: A Comparison of Embedding Models and Pooling Strategies
by: Myers, Skatje, et al.
Published: (2024)

CoRAL: Collaborative Retrieval-Augmented Large Language Models Improve Long-tail Recommendation
by: Wu, Junda, et al.
Published: (2024)

Retrieval-Augmented Large Language Models for Evidence-Informed Guidance on Cannabidiol Use in Older Adults
by: Abedi, Ali, et al.
Published: (2026)

When Documents Disagree: Measuring Institutional Variation in Transplant Guidance with Retrieval-Augmented Language Models
by: Li, Yubo, et al.
Published: (2026)

Comparative Analysis of Retrieval Systems in the Real World
by: Mozolevskyi, Dmytro, et al.
Published: (2024)

Customized Retrieval-Augmented Generation with LLM for Debiasing Recommendation Unlearning
by: Zhang, Haichao, et al.
Published: (2025)

AtomicRAG: Atom-Entity Graphs for Retrieval-Augmented Generation
by: Hou, Yanning, et al.
Published: (2026)

Web Retrieval-Aware Chunking (W-RAC) for Efficient and Cost-Effective Retrieval-Augmented Generation Systems
by: Allu, Uday, et al.
Published: (2026)

Unlocking Electronic Health Records: A Hybrid Graph RAG Approach to Safe Clinical AI for Patient QA
by: Thio, Samuel, et al.
Published: (2025)