Semi-supervised Clustering Through Representation Learning of Large-scale EHR Data
Fuente:
arXiv
Saved in:
| Main Authors: | Wang, Linshanshan, Li, Mengyan, Xia, Zongqi, Liu, Molei, Cai, Tianxi |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Semi-supervised Triply Robust Inductive Transfer Learning
by: Cai, Tianxi, et al.
Published: (2022)
by: Cai, Tianxi, et al.
Published: (2022)
DANIEL: A Distributed and Scalable Approach for Global Representation Learning with EHR Applications
by: Wang, Zebin, et al.
Published: (2025)
by: Wang, Zebin, et al.
Published: (2025)
Knowledge-Embedded Latent Projection for Robust Representation Learning
by: Tang, Weijing, et al.
Published: (2026)
by: Tang, Weijing, et al.
Published: (2026)
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)
Learning Sequential Decisions from Multiple Sources via Group-Robust Markov Decision Processes
by: Xu, Mingyuan, et al.
Published: (2026)
by: Xu, Mingyuan, et al.
Published: (2026)
Model-assisted and Knowledge-guided Transfer Regression for the Underrepresented Population
by: Zhou, Doudou, et al.
Published: (2024)
by: Zhou, Doudou, et al.
Published: (2024)
Representation-Enhanced Neural Knowledge Integration with Application to Large-Scale Medical Ontology Learning
by: Liu, Suqi, et al.
Published: (2024)
by: Liu, Suqi, et al.
Published: (2024)
Representation-Aware Distributionally Robust Optimization: A Knowledge Transfer Framework
by: Wang, Zitao, et al.
Published: (2025)
by: Wang, Zitao, et al.
Published: (2025)
Adversarial Drift-Aware Predictive Transfer: Toward Durable Clinical AI
by: Xiong, Xin, et al.
Published: (2026)
by: Xiong, Xin, et al.
Published: (2026)
StablePCA: Distributionally Robust Learning of Shared Representations from Multi-Source Data
by: Wang, Zhenyu, et al.
Published: (2025)
by: Wang, Zhenyu, et al.
Published: (2025)
Transfer Learning of CATE with Kernel Ridge Regression
by: Kim, Seok-Jin, et al.
Published: (2025)
by: Kim, Seok-Jin, et al.
Published: (2025)
Maximin Learning of Individualized Treatment Effect on Multi-Domain Outcomes
by: Lu, Yuying, et al.
Published: (2026)
by: Lu, Yuying, et al.
Published: (2026)
Semi-supervised learning for linear extremile regression
by: Jiang, Rong, et al.
Published: (2025)
by: Jiang, Rong, et al.
Published: (2025)
Semi-supervised Regression Analysis with Model Misspecification and High-dimensional Data
by: Tian, Ye, et al.
Published: (2024)
by: Tian, Ye, et al.
Published: (2024)
Knowledge-Guided Wasserstein Distributionally Robust Optimization
by: Wang, Zitao, et al.
Published: (2025)
by: Wang, Zitao, et al.
Published: (2025)
Federated Offline Reinforcement Learning
by: Zhou, Doudou, et al.
Published: (2022)
by: Zhou, Doudou, et al.
Published: (2022)
Semi-supervised Method for Risk Prediction with Doubly Censored EHR Data
by: Zhou, Jie, et al.
Published: (2026)
by: Zhou, Jie, et al.
Published: (2026)
Semi-supervised Vertex Hunting, with Applications in Network and Text Analysis
by: Jiang, Yicong, et al.
Published: (2025)
by: Jiang, Yicong, et al.
Published: (2025)
Transfer Learning with Network Embeddings under Structured Missingness
by: Li, Mengyan, et al.
Published: (2026)
by: Li, Mengyan, et al.
Published: (2026)
Adaptive Learning with Blockwise Missing and Semi-Supervised Data
by: Li, Yiming, et al.
Published: (2024)
by: Li, Yiming, et al.
Published: (2024)
TRACER: Transfer Learning based Real-time Adaptation for Clinical Evolving Risk
by: Yan, Mengying, et al.
Published: (2025)
by: Yan, Mengying, et al.
Published: (2025)
Nonparametric estimation of time-varying network connections by multi-stage smoothing
by: Lee, Jeonghwan, et al.
Published: (2026)
by: Lee, Jeonghwan, et al.
Published: (2026)
GRAND: Graph Release with Assured Node Differential Privacy
by: Liu, Suqing, et al.
Published: (2025)
by: Liu, Suqing, et al.
Published: (2025)
K-Tensors: Clustering Positive Semi-Definite Matrices
by: Zhang, Hanchao, et al.
Published: (2023)
by: Zhang, Hanchao, et al.
Published: (2023)
Transfer Learning with Distance Covariance for Random Forest: Error Bounds and an EHR Application
by: Li, Chenze, et al.
Published: (2025)
by: Li, Chenze, et al.
Published: (2025)
Inference of Dependency Knowledge Graph for Electronic Health Records
by: Xu, Zhiwei, et al.
Published: (2023)
by: Xu, Zhiwei, et al.
Published: (2023)
Q-Learning with Clustered-SMART (cSMART) Data: Examining Moderators in the Construction of Clustered Adaptive Interventions
by: Song, Yao, et al.
Published: (2025)
by: Song, Yao, et al.
Published: (2025)
Feature Matching Intervention: Leveraging Observational Data for Causal Representation Learning
by: Li, Haoze, et al.
Published: (2025)
by: Li, Haoze, et al.
Published: (2025)
Representation Retrieval Learning for Heterogeneous Data Integration
by: Xu, Qi, et al.
Published: (2025)
by: Xu, Qi, et al.
Published: (2025)
Towards Identifiability of Hierarchical Temporal Causal Representation Learning
by: Li, Zijian, et al.
Published: (2025)
by: Li, Zijian, et al.
Published: (2025)
Integrated Analysis for Electronic Health Records with Structured and Sporadic Missingness
by: Tan, Jianbin, et al.
Published: (2025)
by: Tan, Jianbin, et al.
Published: (2025)
Domain Adaptation Optimized for Robustness in Mixture Populations
by: Zhan, Keyao, et al.
Published: (2024)
by: Zhan, Keyao, et al.
Published: (2024)
MixEHR-SurG: a joint proportional hazard and guided topic model for inferring mortality-associated topics from electronic health records
by: Li, Yixuan, et al.
Published: (2023)
by: Li, Yixuan, et al.
Published: (2023)
Cluster Quilting: Spectral Clustering for Patchwork Learning
by: Zheng, Lili, et al.
Published: (2024)
by: Zheng, Lili, et al.
Published: (2024)
Discrete Causal Representation Learning
by: Zhang, Wenjin, et al.
Published: (2026)
by: Zhang, Wenjin, et al.
Published: (2026)
Zeroth-Order Sampling Methods for Non-Log-Concave Distributions: Alleviating Metastability by Denoising Diffusion
by: He, Ye, et al.
Published: (2024)
by: He, Ye, et al.
Published: (2024)
Estimation and Inference for Causal Functions with Multiway Clustered Data
by: Liu, Nan, et al.
Published: (2024)
by: Liu, Nan, et al.
Published: (2024)
Contrastive Network Representation Learning
by: Dong, Zihan, et al.
Published: (2025)
by: Dong, Zihan, et al.
Published: (2025)
Clustering and Pruning in Causal Data Fusion
by: Tabell, Otto, et al.
Published: (2025)
by: Tabell, Otto, et al.
Published: (2025)
Clustering Three-Way Data with Outliers
by: Clark, Katharine M., et al.
Published: (2023)
by: Clark, Katharine M., et al.
Published: (2023)
Similar Items
-
Semi-supervised Triply Robust Inductive Transfer Learning
by: Cai, Tianxi, et al.
Published: (2022) -
DANIEL: A Distributed and Scalable Approach for Global Representation Learning with EHR Applications
by: Wang, Zebin, et al.
Published: (2025) -
Knowledge-Embedded Latent Projection for Robust Representation Learning
by: Tang, Weijing, et al.
Published: (2026) -
Latent Factor Point Processes for Patient Representation in Electronic Health Records
by: Knight, Parker, et al.
Published: (2025) -
Learning Sequential Decisions from Multiple Sources via Group-Robust Markov Decision Processes
by: Xu, Mingyuan, et al.
Published: (2026)