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Automatic extraction of clinical concepts is an essential step for turning the unstructured data within a clinical note into structured and actionable information.
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Steven Bird, Ewan Klein, and Edward Loper · 2009
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2010 i2b2/VA challenge on concepts, assertions, and relations in clinical text
Özlem Uzuner, Brett R South, Shuying Shen, and Scott L DuVall · 2011
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Machine-learned solutions for three stages of clinical information extraction: the state of the art at i2b2 2010
Berry de Bruijn, Colin Cherry, Svetlana Kiritchenko, Joel Martin, and Xiaodan Zhu · 2011
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Enhancing clinical concept extraction with distributional semantics
Siddhartha Jonnalagadda, Trevor Cohen, Stephen Wu, and Graciela Gonzalez · 2012
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Distributed representations of words and phrases and their compositionality
Tomas Mikolov, Ilya Sutskever, Kai Chen, Greg S Corrado, and Jeff Dean · 2013
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One billion word benchmark for measuring progress in statistical language modeling
Ciprian Chelba, Tomas Mikolov, Mike Schuster, Qi Ge, Thorsten Brants, Phillipp Koehn, and Tony Robinson · 2013
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Improving the extraction of clinical concepts from clinical records
Xiao Fu and Sophia Ananiadou · 2014
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CliNER: A lightweight tool for clinical named entity recognition
William Boag, Kevin Wacome, Tristan Naumann, and Anna Rumshisky · 2015
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Rupesh Kumar Srivastava, Klaus Greff, and Jürgen Schmidhuber · 2015
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CliNER 2.0: Accessible and Accurate Clinical Concept Extraction
Willie Boag, Elena Sergeeva, Saurabh Kulshreshtha, Peter Szolovits, Anna Rumshisky, and Tristan Naumann · 2018
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Improving clinical named entity recognition with global neural attention
Guohai Xu, Chengyu Wang, and Xiaofeng He · 2018
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Deep contextualized word representations
Matthew E Peters, Mark Neumann, Mohit Iyyer, Matt Gardner, Christopher Clark, Kenton Lee, and Luke Zettlemoyer · 2018
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A study of neural word embeddings for named entity recognition in clinical text
Yonghui Wu, Jun Xu, Min Jiang, Yaoyun Zhang, and Hua Xu · 2015
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Bidirectional LSTM-CRF for clinical concept extraction
Raghavendra Chalapathy, Ehsan Zare Borzeshi, and Massimo Piccardi · 2016
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MIMIC-III, a freely accessible critical care database
Alistair EW Johnson, Tom J Pollard, Lu Shen, H Lehman Li-wei, Mengling Feng, Mohammad Ghassemi, Benjamin Moody, Peter Szolovits, Leo Anthony Celi, and Roger G Mark · 2016
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