17 citations · 44 across the 6 of their papers we have counts for
7 papers
FD-GATDR: A Federated-Decentralized-Learning Graph Attention Network for Doctor Recommendation Using EHR
Luning Bi, Yunlong Wang, Fan Zhang +3
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). Leveraging these d…
eTREE: Learning Tree-structured Embeddings
Faisal M. Almutairi, Yunlong Wang, Dong Wang +2
Matrix factorization (MF) plays an important role in a wide range of machine learning and data mining models. MF is commonly used to obtain item embeddings and feature representati…
Representation Learning of EHR Data via Graph-Based Medical Entity Embedding
Tong Wu, Yunlong Wang, Yue Wang +3
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…
Predicting Treatment Initiation from Clinical Time Series Data via Graph-Augmented Time-Sensitive Model
Fan Zhang, Tong Wu, Yunlong Wang +5
Many computational models were proposed to extract temporal patterns from clinical time series for each patient and among patient group for predictive healthcare. However, the comm…
Rare Disease Detection by Sequence Modeling with Generative Adversarial Networks
Kezi Yu, Yunlong Wang, Yong Cai +4
Rare diseases affecting 350 million individuals are commonly associated with delay in diagnosis or misdiagnosis. To improve those patients' outcome, rare disease detection is an im…
Modeling Treatment Delays for Patients using Feature Label Pairs in a Time Series
Weiyu Huang, Yunlong Wang, Li Zhou +3
Pharmaceutical targeting is one of key inputs for making sales and marketing strategy planning. Targeting list is built on predicting physician's sales potential of certain type of…