10 citations · 16 across the 3 of their papers we have counts for
3 papers
cs.LG2024★ 1 cited
G-Transformer: Counterfactual Outcome Prediction under Dynamic and Time-varying Treatment Regimes
Hong Xiong, Feng Wu, Leon Deng +2
In the context of medical decision making, counterfactual prediction enables clinicians to predict treatment outcomes of interest under alternative courses of therapeutic actions g…
cs.LG2020★ 10 cited
Is Deep Reinforcement Learning Ready for Practical Applications in Healthcare? A Sensitivity Analysis of Duel-DDQN for Hemodynamic Management in Sepsis Patients
MingYu Lu, Zachary Shahn, Daby Sow +2
The potential of Reinforcement Learning (RL) has been demonstrated through successful applications to games such as Go and Atari. However, while it is straightforward to evaluate t…
cs.LG2020★ 5 cited
G-Net: A Deep Learning Approach to G-computation for Counterfactual Outcome Prediction Under Dynamic Treatment Regimes
Rui Li, Zach Shahn, Jun Li +5
Counterfactual prediction is a fundamental task in decision-making. G-computation is a method for estimating expected counterfactual outcomes under dynamic time-varying treatment s…