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20192023
most citedClinician-in-the-Loop Decision Making: Reinforcement Learning with Near-Optimal Set-Valued Policies

11 citations · 33 across the 6 of their papers we have counts for

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cs.LG2019★ 10 cited

Relaxed Parameter Sharing: Effectively Modeling Time-Varying Relationships in Clinical Time-Series

Jeeheh Oh, Jiaxuan Wang, Shengpu Tang +2

Recurrent neural networks (RNNs) are commonly applied to clinical time-series data with the goal of learning patient risk stratification models. Their effectiveness is due, in part…