25 citations · 25 across the 2 of their papers we have counts for
2 papers
cs.LG2020
Learning to Ask Medical Questions using Reinforcement Learning
Uri Shaham, Tom Zahavy, Cesar Caraballo +3
We propose a novel reinforcement learning-based approach for adaptive and iterative feature selection. Given a masked vector of input features, a reinforcement learning agent itera…
cs.CL2019★ 25 cited
A Neural Topic-Attention Model for Medical Term Abbreviation Disambiguation
Irene Li, Michihiro Yasunaga, Muhammed Yavuz Nuzumlalı +4
Automated analysis of clinical notes is attracting increasing attention. However, there has not been much work on medical term abbreviation disambiguation. Such abbreviations are a…