1 citations · 1 across the 1 of their papers we have counts for
2 papers
cs.CL2018
Patient representation learning and interpretable evaluation using clinical notes
Madhumita Sushil, Simon Šuster, Kim Luyckx +1
We have three contributions in this work: 1. We explore the utility of a stacked denoising autoencoder and a paragraph vector model to learn task-independent dense patient represen…
cs.CL2017★ 1 cited
Unsupervised patient representations from clinical notes with interpretable classification decisions
Madhumita Sushil, Simon Šuster, Kim Luyckx +1
We have two main contributions in this work: 1. We explore the usage of a stacked denoising autoencoder, and a paragraph vector model to learn task-independent dense patient repres…