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Text classification tasks which aim at harvesting and/or organizing information from electronic health records are pivotal to support clinical and translational research.
BioBERT: a pre-trained biomedical language representation model for biomedical text mining
Jinhyuk Lee, Wonjin Yoon, Sungdong Kim, Donghyeon Kim, Sunkyu Kim, Chan Ho So, and Jaewoo Kang. 2019 · 1901
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ScispaCy: Fast and Robust Models for Biomedical Natural Language Processing
Mark Neumann, Daniel King, Iz Beltagy, and Waleed Ammar. 2019 · 1902
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Neural Machine Translation with Byte-Level Subwords
Changhan Wang, Kyunghyun Cho, and Jiatao Gu. 2019 · 1909
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HuggingFace’s Transformers: State-of-the-art Natural Language Processing
Thomas Wolf, Lysandre Debut, Victor Sanh, Julien Chaumond, Clement Delangue, Anthony Moi, Pierric Cistac, Tim Rault, Rémi Louf, Morgan Funtowicz, and Jamie Brew. 2020 · 1910
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MedCAT – Medical Concept Annotation Tool
Zeljko Kraljevic, Daniel Bean, Aurelie Mascio, Lukasz Roguski, Amos Folarin, Angus Roberts, Rebecca Bendayan, and Richard Dobson. 2019 · 1912
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A new algorithm for data compression
Philip Gage. 1994 · 1994
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Support-vector networks
Corinna Cortes and Vladimir Vapnik. 1995 · 1995
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A Simple Algorithm for Identifying Negated Findings and Diseases in Discharge Summaries
Wendy W. Chapman, Will Bridewell, Paul Hanbury, Gregory F. Cooper, and Bruce G. Buchanan. 2001 · 2001
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MIMIC II: a massive temporal ICU patient database to support research in intelligent patient monitoring
M. Saeed, C. Lieu, G. Raber, and R. G. Mark. 2002 · 2002
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The Unified Medical Language System (UMLS): integrating biomedical terminology
Olivier Bodenreider. 2004 · 2004
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Liang Yao, Chengsheng Mao, and Yuan Luo. 2019 · 2005
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Identifying patient smoking status from medical discharge records
Ozlem Uzuner, Ira Goldstein, Yuan Luo, and Isaac Kohane. 2008 · 2008
Cited alongside, same era.
ConText: an algorithm for determining negation, experiencer, and temporal status from clinical reports
Henk Harkema, John N. Dowling, Tyler Thornblade, and Wendy W. Chapman. 2009 · 2009
Cited alongside, same era.
Recognizing Obesity and Comorbidities in Sparse Data
Özlem Uzuner. 2009 · 2009
Cited alongside, same era.
The ShARe schema for the syntactic and semantic annotation of clinical texts
N Elhadad, W. W Chapman, T O’Gorman, M Palmer, and G Savova. 2013 · 2013
Cited alongside, same era.
Efficient Estimation of Word Representations in Vector Space
Tomas Mikolov, Kai Chen, Greg Corrado, and Jeffrey Dean. 2013 · 2013
Cited alongside, same era.
Enriching Word Vectors with Subword Information
Piotr Bojanowski, Edouard Grave, Armand Joulin, and Tomas Mikolov. 2017 · 2017
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Benchmarking deep learning models on large healthcare datasets
Sanjay Purushotham, Chuizheng Meng, Zhengping Che, and Yan Liu. 2018 · 2018
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Clinical information extraction applications: A literature review
Y. Wang, L. Wang, M. Rastegar-Mojarad, S. Moon, F. Shen, N. Afzal, S. Liu, Y. Zeng, S. Mehrabi, S. Sohn, and H. Liu. 2018 · 2018
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Wikipedia2Vec: An Optimized Tool for Learning Embeddings of Words and Entities from Wikipedia
Ikuya Yamada, Akari Asai, Hiroyuki Shindo, Hideaki Takeda, and Yoshiyasu Takefuji. 2018 · 2018
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Family member information extraction via neural sequence labeling models with different tag schemes
Hong-Jie Dai. 2019 · 2019
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Danielle L Mowery, Sumithra Velupillai, Brett R South, Lee Christensen, David Martinez, Liadh Kelly, Lorraine Goeuriot, Noemie Elhadad, Guergana Savova, and Wendy W Chapman. 2014 · 2014
Cited alongside, same era.
Glove: Global Vectors for Word Representation
Jeffrey Pennington, Richard Socher, and Christopher Manning. 2014 · 2014
Cited alongside, same era.
MIMIC-III, a freely accessible critical care database
Alistair E. W. Johnson, Tom J. Pollard, Lu Shen, Li-wei H. Lehman, Mengling Feng, Mohammad Ghassemi, Benjamin Moody, Peter Szolovits, Leo Anthony Celi, and Roger G. Mark. 2016 · 2016
Cited alongside, same era.
Siamese CBOW: Optimizing Word Embeddings for Sentence Representations
Tom Kenter, Alexey Borisov, and Maarten de Rijke. 2016 · 2016
Cited alongside, same era.
Neural Machine Translation of Rare Words with Subword Units
Rico Sennrich, Barry Haddow, and Alexandra Birch. 2016 · 2016
Cited alongside, same era.
Jacob Devlin, Ming-Wei Chang, Kenton Lee, and Kristina Toutanova. 2019 · 2019
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Natural language processing of symptoms documented in free-text narratives of electronic health records: A systematic review
T.A. Koleck, C. Dreisbach, P.E. Bourne, and S. Bakken. 2019 · 2019
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Automatic trial eligibility surveillance based on unstructured clinical data
Stéphane M. Meystre, Paul M. Heider, Youngjun Kim, Daniel B. Aruch, and Carolyn D. Britten. 2019 · 2019
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Clinical text classification research trends: Systematic literature review and open issues
Ghulam Mujtaba, Liyana Shuib, Norisma Idris, Wai Lam Hoo, Ram Gopal Raj, Kamran Khowaja, Khairunisa Shaikh, and Henry Friday Nweke. 2019 · 2019
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Enhancing clinical concept extraction with contextual embeddings
Yuqi Si, Jingqi Wang, Hua Xu, and Kirk Roberts. 2019 · 2019
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