most citedDeep Reinforcement Learning for Dynamic Treatment Regimes on Medical Registry Data

9 citations · 10 across the 2 of their papers we have counts for

collaborators

2 papers

stat.ME2020★ 1 cited

Graph-Fused Multivariate Regression via Total Variation Regularization

Ying Liu, Bowei Yan, Kathleen Merikangas +1

In this paper, we propose the Graph-Fused Multivariate Regression (GFMR) via Total Variation regularization, a novel method for estimating the association between a one-dimensional…

cs.AI2018★ 9 cited

Deep Reinforcement Learning for Dynamic Treatment Regimes on Medical Registry Data

Ning Liu, Ying Liu, Brent Logan +3

This paper presents the first deep reinforcement learning (DRL) framework to estimate the optimal Dynamic Treatment Regimes from observational medical data. This framework is more…