Search Results for author: Emily Zhao

Found 7 papers, 1 papers with code

FD-GATDR: A Federated-Decentralized-Learning Graph Attention Network for Doctor Recommendation Using EHR

no code implementations11 Jul 2022 Luning Bi, Yunlong Wang, Fan Zhang, Zhuqing Liu, Yong Cai, Emily Zhao

In the past decade, with the development of big data technology, an increasing amount of patient information has been stored as electronic health records (EHRs).

Graph Attention Recommendation Systems

Representation Learning of EHR Data via Graph-Based Medical Entity Embedding

no code implementations7 Oct 2019 Tong Wu, Yunlong Wang, Yue Wang, Emily Zhao, Yilian Yuan, Zhi Yang

Automatic representation learning of key entities in electronic health record (EHR) data is a critical step for healthcare informatics that turns heterogeneous medical records into structured and actionable information.

Graph Embedding

Rare Disease Detection by Sequence Modeling with Generative Adversarial Networks

no code implementations1 Jul 2019 Kezi Yu, Yunlong Wang, Yong Cai, Cao Xiao, Emily Zhao, Lucas Glass, Jimeng Sun

Rare diseases affecting 350 million individuals are commonly associated with delay in diagnosis or misdiagnosis.

Predicting Treatment Initiation from Clinical Time Series Data via Graph-Augmented Time-Sensitive Model

no code implementations1 Jul 2019 Fan Zhang, Tong Wu, Yunlong Wang, Yong Cai, Cao Xiao, Emily Zhao, Lucas Glass, Jimeng Sun

Many computational models were proposed to extract temporal patterns from clinical time series for each patient and among patient group for predictive healthcare.

Time Series

Semi-supervised Rare Disease Detection Using Generative Adversarial Network

no code implementations3 Dec 2018 Wenyuan Li, Yunlong Wang, Yong Cai, Corey Arnold, Emily Zhao, Yilian Yuan

Rare diseases affect a relatively small number of people, which limits investment in research for treatments and cures.

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