4 citations · 5 across the 7 of their papers we have counts for
7 papers
Federated One-Shot Ensemble Clustering
Rui Duan, Xin Xiong, Jueyi Liu +2
Cluster analysis across multiple institutions poses significant challenges due to data-sharing restrictions. To overcome these limitations, we introduce the Federated One-shot Ense…
Semi-supervised Estimation of Event Rate with Doubly-censored Survival Data
Yang Wang, Qingning Zhou, Tianxi Cai +1
Electronic Health Record (EHR) has emerged as a valuable source of data for translational research. To leverage EHR data for risk prediction and subsequently clinical decision supp…
Distributionally Robust Transfer Learning
Xin Xiong, Zijian Guo, Tianxi Cai
Many existing transfer learning methods rely on leveraging information from source data that closely resembles the target data. However, this approach often overlooks valuable know…
Knowledge Graph Embedding with Electronic Health Records Data via Latent Graphical Block Model
Junwei Lu, Jin Yin, Tianxi Cai
Due to the increasing adoption of electronic health records (EHR), large scale EHRs have become another rich data source for translational clinical research. Despite its potential,…
LATTE: Label-efficient Incident Phenotyping from Longitudinal Electronic Health Records
Jun Wen, Jue Hou, Clara-Lea Bonzel +14
Electronic health record (EHR) data are increasingly used to support real-world evidence (RWE) studies. Yet its ability to generate reliable RWE is limited by the lack of readily a…
Semi-supervised Transfer Learning for Evaluation of Model Classification Performance
Linshanshan Wang, Xuan Wang, Katherine P. Liao +1
In modern machine learning applications, frequent encounters of covariate shift and label scarcity have posed challenges to robust model training and evaluation. Numerous transfer…