Image de couverture de livre

KEEP: Integrating Medical Ontologies with Clinical Data for Robust Code Embeddings

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Elhussein, Ahmed, Meddeb, Paul, Newbury, Abigail, Mirone, Jeanne, Stoll, Martin, Gursoy, Gamze
Format:	Preprint
Publié:	2025
Sujets:	Machine Learning
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

PLayer-FL: A Principled Approach to Personalized Layer-wise Cross-Silo Federated Learning
par: Elhussein, Ahmed, et autres
Publié: (2025)

A Universal Metric of Dataset Similarity for Cross-silo Federated Learning
par: Elhussein, Ahmed, et autres
Publié: (2024)

Optimal Defenses Against Gradient Reconstruction Attacks
par: Chen, Yuxiao, et autres
Publié: (2024)

Ontology-Aligned Embeddings for Data-Driven Labour Market Analytics
par: Hihn, Heinke, et autres
Publié: (2025)

Multi-Ontology Integration with Dual-Axis Propagation for Medical Concept Representation
par: Kerdabadi, Mohsen Nayebi, et autres
Publié: (2025)

HiRef: Leveraging Hierarchical Ontology and Network Refinement for Robust Medication Recommendation
par: Chok, Yan Ting, et autres
Publié: (2025)

Carefully Structured Compression: Efficiently Managing StarCraft II Data
par: Ferenczi, Bryce, et autres
Publié: (2024)

Feature-based Federated Transfer Learning: Communication Efficiency, Robustness and Privacy
par: Wang, Feng, et autres
Publié: (2024)

STAR-GO: Improving Protein Function Prediction by Learning to Hierarchically Integrate Ontology-Informed Semantic Embeddings
par: Akça, Mehmet Efe, et autres
Publié: (2025)

Representation-Enhanced Neural Knowledge Integration with Application to Large-Scale Medical Ontology Learning
par: Liu, Suqi, et autres
Publié: (2024)

Unlocking Historical Clinical Trial Data with ALIGN: A Compositional Large Language Model System for Medical Coding
par: Seedat, Nabeel, et autres
Publié: (2024)

Low-rank computation of the posterior mean in Multi-Output Gaussian Processes
par: Esche, Sebastian, et autres
Publié: (2025)

Learning-Based Resource Management in Integrated Sensing and Communication Systems
par: Lu, Ziyang, et autres
Publié: (2025)

HDC-X: Efficient Medical Data Classification for Embedded Devices
par: Wei, Jianglan, et autres
Publié: (2025)

EmbedOR: Provable Cluster-Preserving Visualizations with Curvature-Based Stochastic Neighbor Embeddings
par: Saidi, Tristan Luca, et autres
Publié: (2025)

Seamlessly Integrating Tree-Based Positional Embeddings into Transformer Models for Source Code Representation
par: Bartkowiak, Patryk, et autres
Publié: (2025)

Why Heuristic Weighting Works: A Theoretical Analysis of Denoising Score Matching
par: Zhang, Juyan, et autres
Publié: (2025)

Veridical Data Science for Medical Foundation Models
par: Alaa, Ahmed, et autres
Publié: (2024)

OntoMedRec: Logically-Pretrained Model-Agnostic Ontology Encoders for Medication Recommendation
par: Tan, Weicong, et autres
Publié: (2024)

QMGeo: Differentially Private Federated Learning via Stochastic Quantization with Mixed Truncated Geometric Distribution
par: Wang, Zixi, et autres
Publié: (2023)

KeyPointDiffuser: Unsupervised 3D Keypoint Learning via Latent Diffusion Models
par: Newbury, Rhys, et autres
Publié: (2025)

Multivariate Feature Selection and Autoencoder Embeddings of Ovarian Cancer Clinical and Genetic Data
par: Bote-Curiel, Luis, et autres
Publié: (2025)

Fast Evaluation of Additive Kernels: Feature Arrangement, Fourier Methods, and Kernel Derivatives
par: Wagner, Theresa, et autres
Publié: (2024)

INSPIRE-GNN: Intelligent Sensor Placement to Improve Sparse Bicycling Network Prediction via Reinforcement Learning Boosted Graph Neural Networks
par: Gupta, Mohit, et autres
Publié: (2025)

Integrating Ontologies with Large Language Models for Enhanced Control Systems in Chemical Engineering
par: Su, Crystal, et autres
Publié: (2025)

ICD Codes are Insufficient to Create Datasets for Machine Learning: An Evaluation Using All of Us Data for Coccidioidomycosis and Myocardial Infarction
par: Whitlock, Abigail E., et autres
Publié: (2024)

Ontology-driven personalized information retrieval for XML documents
par: Iddir, Ounnaci, et autres
Publié: (2026)

Bayesian Integration of Nonlinear Incomplete Clinical Data
par: González-Zamorano, Lucía, et autres
Publié: (2026)

How Class Ontology and Data Scale Affect Audio Transfer Learning
par: Milling, Manuel, et autres
Publié: (2026)

Embedding-Space Data Augmentation to Prevent Membership Inference Attacks in Clinical Time Series Forecasting
par: Fracarolli, Marius, et autres
Publié: (2025)

Runtime Monitoring of Perception-Based Autonomous Systems via Embedding Temporal Logic
par: Kapoor, Parv, et autres
Publié: (2026)

The Integration of Prediction and Planning in Deep Learning Automated Driving Systems: A Review
par: Hagedorn, Steffen, et autres
Publié: (2023)

Operational Robustness of LLMs on Code Generation
par: Paul, Debalina Ghosh, et autres
Publié: (2026)

Generalizable Insights for Graph Transformers in Theory and Practice
par: Stoll, Timo, et autres
Publié: (2025)

Understanding Generalization in Node and Link Prediction
par: Vasileiou, Antonis, et autres
Publié: (2025)

On the Cone Effect and Modality Gap in Medical Vision-Language Embeddings
par: Restrepo, David, et autres
Publié: (2026)

Robust Knowledge Graph Embedding via Denoising
par: Song, Tengwei, et autres
Publié: (2025)

Symphony for Medical Coding: A Next-Generation Agentic System for Scalable and Explainable Medical Coding
par: Edin, Joakim, et autres
Publié: (2026)

Improving Risk Stratification in Hypertrophic Cardiomyopathy: A Novel Score Combining Echocardiography, Clinical, and Medication Data
par: Taconné, Marion, et autres
Publié: (2026)

Ontology- and LLM-based Data Harmonization for Federated Learning in Healthcare
par: Kokash, Natallia, et autres
Publié: (2025)