most citedBlending Knowledge in Deep Recurrent Networks for Adverse Event Prediction at Hospital Discharge

1 citations · 1 across the 1 of their papers we have counts for

collaborators

2 papers

cs.LG2021★ 1 cited

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…

cs.LG2020

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…