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…

stat.ME2019

Efficient estimation of optimal regimes under a no direct effect assumption

Lin Liu, Zach Shahn, James M. Robins +1

We derive new estimators of an optimal joint testing and treatment regime under the no direct effect (NDE) assumption that a given laboratory, diagnostic, or screening test has no…