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Clinical notes are text documents that are created by clinicians for each patient encounter.
A hierarchical approach to the automatic categorization of medical documents
Luciano R.S. de Lima, Alberto H.F. Laender, and Berthier A. Ribeiro-Neto. 1998 · 1998
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Multi-label text classification with a mixture model trained by EM
Andrew McCallum. 1999 · 1999
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Accuracy of ICD-9-CM codes for identifying cardiovascular and stroke risk factors
Elena Birman-Deych, Amy D. Waterman, Yan Yan, David S. Nilasena, Martha J. Radford, and Brian F Gage. 2005 · 2005
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PheWAS: demonstrating the feasibility of a phenome-wide scan to discover gene–disease associations
Joshua C. Denny, Marylyn D. Ritchie, Melissa A. Basford, Jill M. Pulley, Lisa Bastarache, Kristin Brown-Gentry, Deede Wang, Dan R. Masys, Dan M. Roden, and Dana C. Crawford. 2010 · 2010
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Practical bayesian optimization of machine learning algorithms
Jasper Snoek, Hugo Larochelle, and Ryan P Adams. 2012 · 2012
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Multi-task bayesian optimization
Kevin Swersky, Jasper Snoek, and Ryan P Adams. 2013 · 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 · 2013
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Diagnosis code assignment: models and evaluation metrics
Adler Perotte, Rimma Pivovarov, Karthik Natarajan, Nicole Weiskopf, Frank Wood, and Noémie Elhadad. 2013 · 2013
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A system for predicting ICD-10-PCS codes from electronic health records
Michael Subotin and Anthony R. Davis. 2014 · 2014
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Neural machine translation by jointly learning to align and translate
Dzmitry Bahdanau, Kyunghyun Cho, and Yoshua Bengio. 2015 · 2015
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An empirical evaluation of supervised learning approaches in assigning diagnosis codes to electronic medical records
Ramakanth Kavuluru, Anthony Rios, and Yuan Lu. 2015 · 2015
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Adam: A method for stochastic optimization
Diederik Kingma and Jimmy Ba. 2015 · 2015
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The survival filter: Joint survival analysis with a latent time series
Rajesh Ranganath, Adler J. Perotte, Noémie Elhadad, and David M. Blei. 2015 · 2015
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A neural attention model for abstractive sentence summarization
Alexander M. Rush, Sumit Chopra, and Jason Weston. 2015 · 2015
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Data integration of structured and unstructured sources for assigning clinical codes to patient stays
Elyne Scheurwegs, Kim Luyckx, Léon Luyten, Walter Daelemans, and Tim Van den Bulcke. 2015 · 2015
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Doctor AI: Predicting clinical events via recurrent neural networks
Edward Choi, Mohammad Taha Bahadori, Andy Schuetz, Walter F Stewart, and Jimeng Sun. 2016 · 2016
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Cıcero Nogueira dos Santos, Ming Tan, Bing Xiang, and Bowen Zhou. 2016 · 2016
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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
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ABCNN: Attention-based convolutional neural network for modeling sentence pairs
Wenpeng Yin, Hinrich Schütze, Bing Xiang, and Bowen Zhou. 2016 · 2016
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Improving palliative care with deep learning
Anand Avati, Kenneth Jung, Stephanie Harman, Lance Downing, Andrew Ng, and Nigam H. Shah. 2017 · 2017
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Language modeling with gated convolutional networks
Yann N. Dauphin, Angela Fan, Michael Auli, and David Grangier. 2017 · 2017
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Convolutional neural networks for sentence classification
Yoon Kim. 2014 · 2017
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CLEF ehealth 2017 multilingual information extraction task overview: ICD10 coding of death certificates in english and french
Aurélie Névéol, Robert N Anderson, K Bretonnel Cohen, Cyril Grouin, Thomas Lavergne, Grégoire Rey, Aude Robert, Claire Rondet, and Pierre Zweigenbaum. 2017 · 2017
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Rationalizing neural predictions
Tao Lei, Regina Barzilay, and Tommi Jaakkola. 2016 · 2016
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Visualizing and understanding neural models in NLP
Jiwei Li, Xinlei Chen, Eduard Hovy, and Dan Jurafsky. 2016 · 2016
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Why should i trust you?: Explaining the predictions of any classifier
Marco Tulio Ribeiro, Sameer Singh, and Carlos Guestrin. 2016 · 2016
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Reasoning about entailment with neural attention
Tim Rocktäschel, Edward Grefenstette, Karl Moritz Hermann, Tomáš Kočiskỳ, and Phil Blunsom. 2016 · 2016
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A method for modeling co-occurrence propensity of clinical codes with application to ICD-10-PCS auto-coding
Michael Subotin and Anthony R. Davis. 2016 · 2016
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Diagnosis code assignment using sparsity-based disease correlation embedding
Sen Wang, Xiaojun Chang, Xue Li, Guodong Long, Lina Yao, and Quan Z Sheng. 2016 · 2016
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International statistical classification of diseases and related health problems 10th revision
World Health Organization. 2016 · 2016
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Condensed memory networks for clinical diagnostic inferencing
Aaditya Prakash, Siyuan Zhao, Sadid A Hasan, Vivek V Datla, Kathy Lee, Ashequl Qadir, Joey Liu, and Oladimeji Farri. 2017 · 2017
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Selecting relevant features from the electronic health record for clinical code prediction
Elyne Scheurwegs, Boris Cule, Kim Luyckx, Léon Luyten, and Walter Daelemans. 2017 · 2017
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Towards automated ICD coding using deep learning
Haoran Shi, Pengtao Xie, Zhiting Hu, Ming Zhang, and Eric P Xing. 2017 · 2017
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Grounded recurrent neural networks
Ankit Vani, Yacine Jernite, and David Sontag. 2017 · 2017
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Wenpeng Yin and Hinrich Schütze. 2017 · 2017
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Enhancing automatic ICD-9-CM code assignment for medical texts with pubmed
Danchen Zhang, Daqing He, Sanqiang Zhao, and Lei Li. 2017 · 2017
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Multi-label classification of patient notes a case study on ICD code assignment
Tal Baumel, Jumana Nassour-Kassis, Michael Elhadad, and Noémie Elhadad. 2018 · 2018
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A convolutional attention network for extreme summarization of source code
Miltiadis Allamanis, Hao Peng, and Charles Sutton. 2016 · 2091
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