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Clinical notes contain an extensive record of a patient's health status, such as smoking status or the presence of heart conditions.
Docbert: BERT for document classification
Ashutosh Adhikari, Achyudh Ram, Raphael Tang, and Jimmy Lin · 1904
Earlier work this paper cites.
Publicly available clinical BERT embeddings
Emily Alsentzer, John R. Murphy, Willie Boag, Wei-Hung Weng, Di Jin, Tristan Naumann, and Matthew B. A. McDermott · 1904
Earlier work this paper cites.
Identifying smokers with a medical extraction system
Cheryl Clark, Kathleen Good, Lesley Jezierny, Melissa Macpherson, Brian Wilson, and Urszula Chajewska · 2008
Earlier work this paper cites.
Identifying patient smoking status from medical discharge records
Özlem Uzuner, Ira Goldstein, Yuan Luo, and Isaac Kohane · 2008
Earlier work this paper cites.
Semantic classification of diseases in discharge summaries using a context-aware rule-based classifier
Illés Solt, Domonkos Tikk, Viktor Gál, and Zsolt T Kardkovács · 2009
Earlier work this paper cites.
Recognizing obesity and comorbidities in sparse data
Özlem Uzuner · 2009
Earlier work this paper cites.
Natural language processing framework to assess clinical conditions
Henry Ware, Charles J Mullett, and Vasudevan Jagannathan · 2009
Cited alongside, same era.
Dropout: a simple way to prevent neural networks from overfitting
Nitish Srivastava, Geoffrey Hinton, Alex Krizhevsky, Ilya Sutskever, and Ruslan Salakhutdinov · 2014
Cited alongside, same era.
Google’s neural machine translation system: Bridging the gap between human and machine translation, 2016
Yonghui Wu, Mike Schuster, Zhifeng Chen, Quoc V. Le, Mohammad Norouzi, Wolfgang Macherey, Maxim Krikun, Yuan Cao, Qin Gao, Klaus Macherey, Jeff Klingner, Apurva Shah, Melvin Johnson, Xiaobing Liu, Łukasz Kaiser, Stephan Gouws, Yoshikiyo Kato, Taku Kudo, Hideto Kazawa, Keith Stevens, George Kurian, Nishant Patil, Wei Wang, Cliff Young, Jason Smith, Jason Riesa, Alex Rudnick, Oriol Vinyals, Greg Corrado, Macduff Hughes, and Jeffrey Dean · 2016
Cited alongside, same era.
Attention is all you need
Ashish Vaswani, Noam Shazeer, Niki Parmar, Jakob Uszkoreit, Llion Jones, Aidan N Gomez, Łukasz Kaiser, and Illia Polosukhin · 2017
Cited alongside, same era.
Clinical text classification with rule-based features and knowledge-guided convolutional neural networks
Liang Yao, Chengsheng Mao, and Yuchen Luo · 2018
Later among the works it cites.
Transformer-xl: Attentive language models beyond a fixed-length context
Zihang Dai, Zhilin Yang, Yiming Yang, William W Cohen, Jaime Carbonell, Quoc V Le, and Ruslan Salakhutdinov · 2019
Closest in time.
BERT: pre-training of deep bidirectional transformers for language understanding
Jacob Devlin, Ming-Wei Chang, Kenton Lee, and Kristina Toutanova · 2019
Closest in time.
A clinical text classification paradigm using weak supervision and deep representation
Yanshan Wang, Sunghwan Sohn, Sijia Liu, Feichen Shen, Liwei Wang, Elizabeth J Atkinson, Shreyasee Amin, and Hongfang Liu · 2019
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Beto, bentz, becas: The surprising cross-lingual effectiveness of bert
Shijie Wu and Mark Dredze · 2019
Closest in time.
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Matthew E Peters, Mark Neumann, Mohit Iyyer, Matt Gardner, Christopher Clark, Kenton Lee, and Luke Zettlemoyer · 2018
Cited alongside, same era.