Inference of Dependency Knowledge Graph for Electronic Health Records
Fuente:
arXiv
Guardado en:
| Autores principales: | Xu, Zhiwei, Gan, Ziming, Zhou, Doudou, Shen, Shuting, Lu, Junwei, Cai, Tianxi |
|---|---|
| Formato: | Preprint |
| Publicado: |
2023
|
| Materias: | |
| Acceso en línea: | |
| Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
Latent Factor Point Processes for Patient Representation in Electronic Health Records
por: Knight, Parker, et al.
Publicado: (2025)
por: Knight, Parker, et al.
Publicado: (2025)
Automated Hierarchical Graph Construction for Multi-source Electronic Health Records
por: Wang, Yinjie, et al.
Publicado: (2025)
por: Wang, Yinjie, et al.
Publicado: (2025)
Time-Aware Attention for Enhanced Electronic Health Records Modeling
por: Yu, Junhan, et al.
Publicado: (2025)
por: Yu, Junhan, et al.
Publicado: (2025)
DANIEL: A Distributed and Scalable Approach for Global Representation Learning with EHR Applications
por: Wang, Zebin, et al.
Publicado: (2025)
por: Wang, Zebin, et al.
Publicado: (2025)
Federated Offline Reinforcement Learning
por: Zhou, Doudou, et al.
Publicado: (2022)
por: Zhou, Doudou, et al.
Publicado: (2022)
Integrated Analysis for Electronic Health Records with Structured and Sporadic Missingness
por: Tan, Jianbin, et al.
Publicado: (2025)
por: Tan, Jianbin, et al.
Publicado: (2025)
Learning Sequential Decisions from Multiple Sources via Group-Robust Markov Decision Processes
por: Xu, Mingyuan, et al.
Publicado: (2026)
por: Xu, Mingyuan, et al.
Publicado: (2026)
Contrastive Learning on Multimodal Analysis of Electronic Health Records
por: Cai, Tianxi, et al.
Publicado: (2024)
por: Cai, Tianxi, et al.
Publicado: (2024)
Representation-Enhanced Neural Knowledge Integration with Application to Large-Scale Medical Ontology Learning
por: Liu, Suqi, et al.
Publicado: (2024)
por: Liu, Suqi, et al.
Publicado: (2024)
Model-assisted and Knowledge-guided Transfer Regression for the Underrepresented Population
por: Zhou, Doudou, et al.
Publicado: (2024)
por: Zhou, Doudou, et al.
Publicado: (2024)
Knowledge-Embedded Latent Projection for Robust Representation Learning
por: Tang, Weijing, et al.
Publicado: (2026)
por: Tang, Weijing, et al.
Publicado: (2026)
Causal thinking for decision making on Electronic Health Records: why and how
por: Doutreligne, Matthieu, et al.
Publicado: (2023)
por: Doutreligne, Matthieu, et al.
Publicado: (2023)
Consensus Knowledge Graph Learning via Multi-view Sparse Low Rank Block Model
por: Cai, Tianxi, et al.
Publicado: (2022)
por: Cai, Tianxi, et al.
Publicado: (2022)
A Common Pipeline for Harmonizing Electronic Health Record Data for Translational Research
por: Gronsbell, Jessica, et al.
Publicado: (2025)
por: Gronsbell, Jessica, et al.
Publicado: (2025)
A Trainable Centrality Framework for Modern Data
por: Vu, Minh Duc, et al.
Publicado: (2025)
por: Vu, Minh Duc, et al.
Publicado: (2025)
Dimension Reduction for Large-Scale Federated Data: Statistical Rate and Asymptotic Inference
por: Shen, Shuting, et al.
Publicado: (2023)
por: Shen, Shuting, et al.
Publicado: (2023)
SGD with Dependent Data: Optimal Estimation, Regret, and Inference
por: Shen, Yinan, et al.
Publicado: (2026)
por: Shen, Yinan, et al.
Publicado: (2026)
GRAND: Graph Release with Assured Node Differential Privacy
por: Liu, Suqing, et al.
Publicado: (2025)
por: Liu, Suqing, et al.
Publicado: (2025)
Tree-Guided Rare Feature Selection and Logic Aggregation with Electronic Health Records Data
por: Chen, Jianmin, et al.
Publicado: (2022)
por: Chen, Jianmin, et al.
Publicado: (2022)
Semi-supervised Clustering Through Representation Learning of Large-scale EHR Data
por: Wang, Linshanshan, et al.
Publicado: (2025)
por: Wang, Linshanshan, et al.
Publicado: (2025)
Statistical Inference for Matching Decisions via Matrix Completion under Dependent Missingness
por: Duan, Congyuan, et al.
Publicado: (2025)
por: Duan, Congyuan, et al.
Publicado: (2025)
On Using Large Language Models to Enhance Clinically-Driven Missing Data Recovery Algorithms in Electronic Health Records
por: Lotspeich, Sarah C., et al.
Publicado: (2025)
por: Lotspeich, Sarah C., et al.
Publicado: (2025)
Nonparametric estimation of time-varying network connections by multi-stage smoothing
por: Lee, Jeonghwan, et al.
Publicado: (2026)
por: Lee, Jeonghwan, et al.
Publicado: (2026)
Prediction De-Correlated Inference: A safe approach for post-prediction inference
por: Gan, Feng, et al.
Publicado: (2023)
por: Gan, Feng, et al.
Publicado: (2023)
Causal Inference with the "Napkin Graph"
por: Guo, Anna, et al.
Publicado: (2025)
por: Guo, Anna, et al.
Publicado: (2025)
LOCO Feature Importance Inference without Data Splitting via Minipatch Ensembles
por: Gan, Luqin, et al.
Publicado: (2022)
por: Gan, Luqin, et al.
Publicado: (2022)
Contextual Online Uncertainty-Aware Preference Learning for Human Feedback
por: Lu, Nan, et al.
Publicado: (2025)
por: Lu, Nan, et al.
Publicado: (2025)
Structure Maintained Representation Learning Neural Network for Causal Inference
por: Sun, Yang, et al.
Publicado: (2025)
por: Sun, Yang, et al.
Publicado: (2025)
Spherical Mixture Integration for Latent Embedding Alignment across Multi-Source Feature Spaces
por: Zhang, Yuming, et al.
Publicado: (2026)
por: Zhang, Yuming, et al.
Publicado: (2026)
Inference for Large Scale Regression Models with Dependent Errors
por: Voirol, Lionel, et al.
Publicado: (2024)
por: Voirol, Lionel, et al.
Publicado: (2024)
Graph Topic Modeling for Documents with Spatial or Covariate Dependencies
por: Jung, Yeo Jin, et al.
Publicado: (2024)
por: Jung, Yeo Jin, et al.
Publicado: (2024)
Knockoffs Inference under Privacy Constraints
por: Cai, Zhanrui, et al.
Publicado: (2025)
por: Cai, Zhanrui, et al.
Publicado: (2025)
Statistical Inference for Differentially Private Stochastic Gradient Descent
por: Xia, Xintao, et al.
Publicado: (2025)
por: Xia, Xintao, et al.
Publicado: (2025)
Vector Copula Variational Inference and Dependent Block Posterior Approximations
por: Fu, Yu, et al.
Publicado: (2025)
por: Fu, Yu, et al.
Publicado: (2025)
Causal Discovery on Dependent Binary Data
por: Chen, Alex, et al.
Publicado: (2024)
por: Chen, Alex, et al.
Publicado: (2024)
Adversarial Drift-Aware Predictive Transfer: Toward Durable Clinical AI
por: Xiong, Xin, et al.
Publicado: (2026)
por: Xiong, Xin, et al.
Publicado: (2026)
Federated Learning of Quantile Inference under Local Differential Privacy
por: Cai, Leheng, et al.
Publicado: (2025)
por: Cai, Leheng, et al.
Publicado: (2025)
Task-Agnostic Machine-Learning-Assisted Inference
por: Miao, Jiacheng, et al.
Publicado: (2024)
por: Miao, Jiacheng, et al.
Publicado: (2024)
Integrating Causal Inference with Graph Neural Networks for Alzheimer's Disease Analysis
por: Peddi, Pranay Kumar, et al.
Publicado: (2025)
por: Peddi, Pranay Kumar, et al.
Publicado: (2025)
Causality-Encoded Diffusion Models for Interventional Sampling and Edge Inference
por: Chen, Li, et al.
Publicado: (2026)
por: Chen, Li, et al.
Publicado: (2026)
Ejemplares similares
-
Latent Factor Point Processes for Patient Representation in Electronic Health Records
por: Knight, Parker, et al.
Publicado: (2025) -
Automated Hierarchical Graph Construction for Multi-source Electronic Health Records
por: Wang, Yinjie, et al.
Publicado: (2025) -
Time-Aware Attention for Enhanced Electronic Health Records Modeling
por: Yu, Junhan, et al.
Publicado: (2025) -
DANIEL: A Distributed and Scalable Approach for Global Representation Learning with EHR Applications
por: Wang, Zebin, et al.
Publicado: (2025) -
Federated Offline Reinforcement Learning
por: Zhou, Doudou, et al.
Publicado: (2022)