Latent Factor Point Processes for Patient Representation in Electronic Health Records
Fuente:
arXiv
Saved in:
| Main Authors: | Knight, Parker, Zhou, Doudou, Xia, Zongqi, Cai, Tianxi, Lu, Junwei |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Inference of Dependency Knowledge Graph for Electronic Health Records
by: Xu, Zhiwei, et al.
Published: (2023)
by: Xu, Zhiwei, et al.
Published: (2023)
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)
Knowledge-Embedded Latent Projection for Robust Representation Learning
by: Tang, Weijing, et al.
Published: (2026)
by: Tang, Weijing, et al.
Published: (2026)
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)
Semi-supervised Clustering Through Representation Learning of Large-scale EHR Data
by: Wang, Linshanshan, et al.
Published: (2025)
by: Wang, Linshanshan, et al.
Published: (2025)
Time-Aware Attention for Enhanced Electronic Health Records Modeling
by: Yu, Junhan, et al.
Published: (2025)
by: Yu, Junhan, et al.
Published: (2025)
Federated Offline Reinforcement Learning
by: Zhou, Doudou, et al.
Published: (2022)
by: Zhou, Doudou, et al.
Published: (2022)
Automated Hierarchical Graph Construction for Multi-source Electronic Health Records
by: Wang, Yinjie, et al.
Published: (2025)
by: Wang, Yinjie, 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)
Contrastive Learning on Multimodal Analysis of Electronic Health Records
by: Cai, Tianxi, et al.
Published: (2024)
by: Cai, Tianxi, et al.
Published: (2024)
Spherical Mixture Integration for Latent Embedding Alignment across Multi-Source Feature Spaces
by: Zhang, Yuming, et al.
Published: (2026)
by: Zhang, Yuming, et al.
Published: (2026)
Multi-Task Learning with Summary Statistics
by: Knight, Parker, et al.
Published: (2023)
by: Knight, Parker, et al.
Published: (2023)
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)
Causal thinking for decision making on Electronic Health Records: why and how
by: Doutreligne, Matthieu, et al.
Published: (2023)
by: Doutreligne, Matthieu, et al.
Published: (2023)
A Trainable Centrality Framework for Modern Data
by: Vu, Minh Duc, et al.
Published: (2025)
by: Vu, Minh Duc, et al.
Published: (2025)
Tree-Guided Rare Feature Selection and Logic Aggregation with Electronic Health Records Data
by: Chen, Jianmin, et al.
Published: (2022)
by: Chen, Jianmin, et al.
Published: (2022)
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)
Score-Based Change-Point Detection and Region Localization for Spatio-Temporal Point Processes
by: Zhou, Wenbin, et al.
Published: (2026)
by: Zhou, Wenbin, et al.
Published: (2026)
Consensus Knowledge Graph Learning via Multi-view Sparse Low Rank Block Model
by: Cai, Tianxi, et al.
Published: (2022)
by: Cai, Tianxi, et al.
Published: (2022)
On Using Large Language Models to Enhance Clinically-Driven Missing Data Recovery Algorithms in Electronic Health Records
by: Lotspeich, Sarah C., et al.
Published: (2025)
by: Lotspeich, Sarah C., 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)
Contextual Online Uncertainty-Aware Preference Learning for Human Feedback
by: Lu, Nan, et al.
Published: (2025)
by: Lu, Nan, et al.
Published: (2025)
Generalized Linear Markov Decision Process
by: Zhang, Sinian, et al.
Published: (2025)
by: Zhang, Sinian, et al.
Published: (2025)
Knowledge Distillation of Uncertainty using Deep Latent Factor Model
by: Park, Sehyun, et al.
Published: (2025)
by: Park, Sehyun, et al.
Published: (2025)
Structure Maintained Representation Learning Neural Network for Causal Inference
by: Sun, Yang, et al.
Published: (2025)
by: Sun, Yang, et al.
Published: (2025)
Iterative Methods for Vecchia-Laplace Approximations for Latent Gaussian Process Models
by: Kündig, Pascal, et al.
Published: (2023)
by: Kündig, Pascal, et al.
Published: (2023)
GRAND: Graph Release with Assured Node Differential Privacy
by: Liu, Suqing, et al.
Published: (2025)
by: Liu, Suqing, et al.
Published: (2025)
Doubly Robust Inference in Causal Latent Factor Models
by: Abadie, Alberto, et al.
Published: (2024)
by: Abadie, Alberto, et al.
Published: (2024)
Adversarial Drift-Aware Predictive Transfer: Toward Durable Clinical AI
by: Xiong, Xin, et al.
Published: (2026)
by: Xiong, Xin, et al.
Published: (2026)
PCA for Point Processes
by: Picard, Franck, et al.
Published: (2024)
by: Picard, Franck, et al.
Published: (2024)
A Common Pipeline for Harmonizing Electronic Health Record Data for Translational Research
by: Gronsbell, Jessica, et al.
Published: (2025)
by: Gronsbell, Jessica, et al.
Published: (2025)
Confidence Diagram of Nonparametric Ranking for Uncertainty Assessment in Large Language Models Evaluation
by: Wang, Zebin, et al.
Published: (2024)
by: Wang, Zebin, et al.
Published: (2024)
SOFARI-R: High-Dimensional Manifold-Based Inference for Latent Responses
by: Zheng, Zemin, et al.
Published: (2025)
by: Zheng, Zemin, et al.
Published: (2025)
An Empirical Study: Extensive Deep Temporal Point Process
by: Lin, Haitao, et al.
Published: (2021)
by: Lin, Haitao, et al.
Published: (2021)
Statistical Inference for Differentially Private Stochastic Gradient Descent
by: Xia, Xintao, et al.
Published: (2025)
by: Xia, Xintao, et al.
Published: (2025)
Towards Characterizing Domain Counterfactuals For Invertible Latent Causal Models
by: Zhou, Zeyu, et al.
Published: (2023)
by: Zhou, Zeyu, et al.
Published: (2023)
Dynamic Classification of Latent Disease Progression with Auxiliary Surrogate Labels
by: Cai, Zexi, et al.
Published: (2024)
by: Cai, Zexi, et al.
Published: (2024)
Contrasting Global and Patient-Specific Regression Models via a Neural Network Representation
by: Behrens, Max, et al.
Published: (2026)
by: Behrens, Max, et al.
Published: (2026)
Contrastive Network Representation Learning
by: Dong, Zihan, et al.
Published: (2025)
by: Dong, Zihan, et al.
Published: (2025)
Optimal Discriminant Analysis in High-Dimensional Latent Factor Models
by: Bing, Xin, et al.
Published: (2022)
by: Bing, Xin, et al.
Published: (2022)
Similar Items
-
Inference of Dependency Knowledge Graph for Electronic Health Records
by: Xu, Zhiwei, et al.
Published: (2023) -
Learning Sequential Decisions from Multiple Sources via Group-Robust Markov Decision Processes
by: Xu, Mingyuan, et al.
Published: (2026) -
Knowledge-Embedded Latent Projection for Robust Representation Learning
by: Tang, Weijing, et al.
Published: (2026) -
DANIEL: A Distributed and Scalable Approach for Global Representation Learning with EHR Applications
by: Wang, Zebin, et al.
Published: (2025) -
Semi-supervised Clustering Through Representation Learning of Large-scale EHR Data
by: Wang, Linshanshan, et al.
Published: (2025)