13 citations · 26 across the 6 of their papers we have counts for
3 papers · 1 filter
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…
Unsupervised Context-Sensitive Spelling Correction of English and Dutch Clinical Free-Text with Word and Character N-Gram Embeddings
Pieter Fivez, Simon Šuster, Walter Daelemans
We present an unsupervised context-sensitive spelling correction method for clinical free-text that uses word and character n-gram embeddings. Our method generates misspelling repl…
A Short Review of Ethical Challenges in Clinical Natural Language Processing
Simon Šuster, Stéphan Tulkens, Walter Daelemans
Clinical NLP has an immense potential in contributing to how clinical practice will be revolutionized by the advent of large scale processing of clinical records. However, this pot…