Image de couverture de livre

ProtoEHR: Hierarchical Prototype Learning for EHR-based Healthcare Predictions

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Cai, Zi, Liu, Yu, Luo, Zhiyao, Zhu, Tingting
Format:	Preprint
Publié:	2025
Sujets:	Machine Learning Artificial Intelligence
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

PRISM: Mitigating EHR Data Sparsity via Learning from Missing Feature Calibrated Prototype Patient Representations
par: Zhu, Yinghao, et autres
Publié: (2023)

Bridging Data Gaps of Rare Conditions in ICU: A Multi-Disease Adaptation Approach for Clinical Prediction
par: Zhu, Mingcheng, et autres
Publié: (2025)

When Does Multimodal Learning Help in Healthcare? A Benchmark on EHR and Chest X-Ray Fusion
par: Yin, Kejing, et autres
Publié: (2026)

EHR-RAGp: Retrieval-Augmented Prototype-Guided Foundation Model for Electronic Health Records
par: Shurrab, Saeed, et autres
Publié: (2026)

Early GVHD Prediction in Liver Transplantation via Multi-Modal Deep Learning on Imbalanced EHR Data
par: Jiang, Yushan, et autres
Publié: (2025)

DeepSelective: Interpretable Prognosis Prediction via Feature Selection and Compression in EHR Data
par: Zhang, Ruochi, et autres
Publié: (2025)

ProtoGCD: Unified and Unbiased Prototype Learning for Generalized Category Discovery
par: Ma, Shijie, et autres
Publié: (2025)

Exploring Scaling Laws for EHR Foundation Models
par: Zhang, Sheng, et autres
Publié: (2025)

From Basic to Extra Features: Hypergraph Transformer Pretrain-then-Finetuning for Balanced Clinical Predictions on EHR
par: Xu, Ran, et autres
Publié: (2024)

Graph Neural Networks for Heart Failure Prediction on an EHR-Based Patient Similarity Graph
par: Boll, Heloisa Oss, et autres
Publié: (2024)

Cross-Representation Benchmarking in Time-Series Electronic Health Records for Clinical Outcome Prediction
par: Chen, Tianyi, et autres
Publié: (2025)

Integrating Genomics into Multimodal EHR Foundation Models
par: Amar, Jonathan, et autres
Publié: (2025)

Next Visit Diagnosis Prediction via Medical Code-Centric Multimodal Contrastive EHR Modelling with Hierarchical Regularisation
par: Koo, Heejoon
Publié: (2024)

Reinforcement Learning in Dynamic Treatment Regimes Needs Critical Reexamination
par: Luo, Zhiyao, et autres
Publié: (2024)

GraphRAG on Consumer Hardware: Benchmarking Local LLMs for Healthcare EHR Schema Retrieval
par: Fernandes, Peter, et autres
Publié: (2026)

IVP-VAE: Modeling EHR Time Series with Initial Value Problem Solvers
par: Xiao, Jingge, et autres
Publié: (2023)

Customizing Open Source LLMs for Quantitative Medication Attribute Extraction across Heterogeneous EHR Systems
par: Fei, Zhe, et autres
Publié: (2025)

Similarity-Based Self-Construct Graph Model for Predicting Patient Criticalness Using Graph Neural Networks and EHR Data
par: Sahu, Mukesh Kumar, et autres
Publié: (2025)

Generating Clinically Realistic EHR Data via a Hierarchy- and Semantics-Guided Transformer
par: Zhou, Guanglin, et autres
Publié: (2025)

Generating Multi-Table Time Series EHR from Latent Space with Minimal Preprocessing
par: Cho, Eunbyeol, et autres
Publié: (2025)

ProtoNAM: Prototypical Neural Additive Models for Interpretable Deep Tabular Learning
par: Xiong, Guangzhi, et autres
Publié: (2024)

FeatEHR-LLM: Leveraging Large Language Models for Feature Engineering in Electronic Health Records
par: Karami, Hojjat, et autres
Publié: (2026)

Leveraging Foundation Language Models (FLMs) for Automated Cohort Extraction from Large EHR Databases
par: Mugambi, Purity, et autres
Publié: (2024)

Clin-JEPA: A Multi-Phase Co-Training Framework for Joint-Embedding Predictive Pretraining on EHR Patient Trajectories
par: Yang, Yixuan, et autres
Publié: (2026)

DTR-Bench: An in silico Environment and Benchmark Platform for Reinforcement Learning Based Dynamic Treatment Regime
par: Luo, Zhiyao, et autres
Publié: (2024)

Proto-EVFL: Enhanced Vertical Federated Learning via Dual Prototype with Extremely Unaligned Data
par: Guo, Wei, et autres
Publié: (2025)

SurvAttack: Black-Box Attack On Survival Models through Ontology-Informed EHR Perturbation
par: Kerdabadi, Mohsen Nayebi, et autres
Publié: (2024)

CDMT-EHR: A Continuous-Time Diffusion Framework for Generating Mixed-Type Time-Series Electronic Health Records
par: Liu, Shaonan, et autres
Publié: (2026)

Multimodal Fusion of EHR in Structures and Semantics: Integrating Clinical Records and Notes with Hypergraph and LLM
par: Cui, Hejie, et autres
Publié: (2024)

Explainable AI for Classifying UTI Risk Groups Using a Real-World Linked EHR and Pathology Lab Dataset
par: Dai, Yujie, et autres
Publié: (2024)

MedAgentBench: A Realistic Virtual EHR Environment to Benchmark Medical LLM Agents
par: Jiang, Yixing, et autres
Publié: (2025)

Can-SAVE: Deploying Low-Cost and Population-Scale Cancer Screening via Survival Analysis Variables and EHR
par: Philonenko, Petr, et autres
Publié: (2023)

MixEHR-Nest: Identifying Subphenotypes within Electronic Health Records through Hierarchical Guided-Topic Modeling
par: Wang, Ruohan, et autres
Publié: (2024)

Causal Graph Neural Networks for Healthcare
par: Mesinovic, Munib, et autres
Publié: (2025)

Ensuring Reliability of Curated EHR-Derived Data: The Validation of Accuracy for LLM/ML-Extracted Information and Data (VALID) Framework
par: Estevez, Melissa, et autres
Publié: (2025)

EHR Interaction Between Patients and AI: NoteAid EHR Interaction
par: Zhang, Xiaocheng, et autres
Publié: (2023)

Deep Learning: a Heuristic Three-stage Mechanism for Grid Searches to Optimize the Future Risk Prediction of Breast Cancer Metastasis Using EHR-based Clinical Data
par: Jiang, Xia, et autres
Publié: (2024)

ProtoEFNet: Dynamic Prototype Learning for Inherently Interpretable Ejection Fraction Estimation in Echocardiography
par: Ghamary, Yeganeh, et autres
Publié: (2025)

Prospective evaluation of multimodal respiratory failure prediction: Do chest X-rays improve performance beyond EHR signals?
par: Lu, Xiaolei, et autres
Publié: (2026)

Deformable ProtoPNet: An Interpretable Image Classifier Using Deformable Prototypes
par: Donnelly, Jon, et autres
Publié: (2021)