17 citations · 54 across the 9 of their papers we have counts for
10 papers
Towards Trustworthy Explanation: On Causal Rationalization
Wenbo Zhang, Tong Wu, Yunlong Wang +2
With recent advances in natural language processing, rationalization becomes an essential self-explaining diagram to disentangle the black box by selecting a subset of input texts…
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…
Enhancing Model Interpretability and Accuracy for Disease Progression Prediction via Phenotype-Based Patient Similarity Learning
Yue Wang, Tong Wu, Yunlong Wang +1
Models have been proposed to extract temporal patterns from longitudinal electronic health records (EHR) for clinical predictive models. However, the common relations among patient…
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…