9 citations · 13 across the 5 of their papers we have counts for
4 papers · 1 filter
Blending Knowledge in Deep Recurrent Networks for Adverse Event Prediction at Hospital Discharge
Prithwish Chakraborty, James Codella, Piyush Madan +22
Deep learning architectures have an extremely high-capacity for modeling complex data in a wide variety of domains. However, these architectures have been limited in their ability…
EVA: Generating Longitudinal Electronic Health Records Using Conditional Variational Autoencoders
Siddharth Biswal, Soumya Ghosh, Jon Duke +3
Researchers require timely access to real-world longitudinal electronic health records (EHR) to develop, test, validate, and implement machine learning solutions that improve the q…
Generating Electronic Health Records with Multiple Data Types and Constraints
Chao Yan, Ziqi Zhang, Steve Nyemba +1
Sharing electronic health records (EHRs) on a large scale may lead to privacy intrusions. Recent research has shown that risks may be mitigated by simulating EHRs through generativ…
PIVETed-Granite: Computational Phenotypes through Constrained Tensor Factorization
Jette Henderson, Bradley A. Malin, Joyce C. Ho +1
It has been recently shown that sparse, nonnegative tensor factorization of multi-modal electronic health record data is a promising approach to high-throughput computational pheno…