Fetching the paper…
Reading the bibliography…
Healthcare providers usually record detailed notes of the clinical care delivered to each patient for clinical, research, and billing purposes.
Sentence-bert: Sentence embeddings using siamese bert-networks
Nils Reimers and Iryna Gurevych · 1908
Earlier work this paper cites.
International classification of diseases—ninth revision (icd-9)
WHO · 1988
Earlier work this paper cites.
Inaccuracy of the international classification of diseases (icd-9-cm) in identifying the diagnosis of ischemic cerebrovascular disease
Curtis Benesch, DM Witter, AL Wilder, PW Duncan, GP Samsa, and DB Matchar · 1997
Earlier work this paper cites.
Long Short-Term Memory
Sepp Hochreiter and Jürgen Schmidhuber · 1997
Earlier work this paper cites.
Nltk: The natural language toolkit
Edward Loper and Steven Bird · 2002
Earlier work this paper cites.
Latent dirichlet allocation
David M Blei, Andrew Y Ng, and Michael I Jordan · 2003
Earlier work this paper cites.
Computing semantic relatedness using wikipedia-based explicit semantic analysis
Evgeniy Gabrilovich, Shaul Markovitch, et al · 2007
Earlier work this paper cites.
Importance of semantic representation: Dataless classification
Ming-Wei Chang, Lev-Arie Ratinov, Dan Roth, and Vivek Srikumar · 2008
Earlier work this paper cites.
Learning word vectors for sentiment analysis
Andrew L. Maas, Raymond E. Daly, Peter T. Pham, Dan Huang, Andrew Y. Ng, and Christopher Potts · 2011
Earlier work this paper cites.
Benefits and drawbacks of electronic health record systems
Nir Menachemi and Taleah H Collum · 2011
Earlier work this paper cites.
API design for machine learning software: experiences from the scikit-learn project
Lars Buitinck, Gilles Louppe, Mathieu Blondel, Fabian Pedregosa, Andreas Mueller, Olivier Grisel, Vlad Niculae, Peter Prettenhofer, Alexandre Gramfort, Jaques Grobler, Robert Layton, Jake VanderPlas, Arnaud Joly, Brian Holt, and Gaël Varoquaux · 2013
Earlier work this paper cites.
Rectifier nonlinearities improve neural network acoustic models
Andrew L Maas, Awni Y Hannun, Andrew Y Ng, et al · 2013
Earlier work this paper cites.
Hidden factors and hidden topics: understanding rating dimensions with review text
Julian McAuley and Jure Leskovec · 2013
Earlier work this paper cites.
Dropout: a simple way to prevent neural networks from overfitting
Nitish Srivastava, Geoffrey Hinton, Alex Krizhevsky, Ilya Sutskever, and Ruslan Salakhutdinov · 2014
Earlier work this paper cites.
Dbpedia–a large-scale, multilingual knowledge base extracted from wikipedia
Jens Lehmann, Robert Isele, Max Jakob, Anja Jentzsch, Dimitris Kontokostas, Pablo N Mendes, Sebastian Hellmann, Mohamed Morsey, Patrick Van Kleef, Sören Auer, et al · 2015
Cited alongside, same era.
Icd code retrieval: Novel approach for assisted disease classification
Stefano Giovanni Rizzo, Danilo Montesi, Andrea Fabbri, and Giulio Marchesini · 2015
Cited alongside, same era.
Character-level convolutional networks for text classification
Xiang Zhang, Junbo Zhao, and Yann LeCun · 2015
Cited alongside, same era.
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
Cited alongside, same era.
Data programming: Creating large training sets, quickly
Alexander J Ratner, Christopher M De Sa, Sen Wu, Daniel Selsam, and Christopher Ré · 2016
Cited alongside, same era.
Pytorch: An imperative style, high-performance deep learning library
Adam Paszke, Sam Gross, Francisco Massa, Adam Lerer, James Bradbury, Gregory Chanan, Trevor Killeen, Zeming Lin, Natalia Gimelshein, Luca Antiga, Alban Desmaison, Andreas Kopf, Edward Yang, Zachary DeVito, Martin Raison, Alykhan Tejani, Sasank Chilamkurthy, Benoit Steiner, Lu Fang, Junjie Bai, and Soumith Chintala · 2019
Later among the works it cites.
Transfer learning in biomedical natural language processing: An evaluation of bert and elmo on ten benchmarking datasets
Yifan Peng, Shankai Yan, and Zhiyong Lu · 2019
Later among the works it cites.
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
Later among the works it cites.
Multimodal machine learning for automated icd coding
Keyang Xu, Mike Lam, Jingzhi Pang, Xin Gao, Charlotte Band, Piyush Mathur, Frank Papay, Ashish K Khanna, Jacek B Cywinski, Kamal Maheshwari, et al · 2019
Later among the works it cites.
Automatic icd code assignment of chinese clinical notes based on multilayer attention birnn
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
Unsupervised deep embedding for clustering analysis
Junyuan Xie, Ross Girshick, and Ali Farhadi · 2016
Cited alongside, same era.
Electronic health record adoption in us hospitals: the emergence of a digital “advanced use” divide
Julia Adler-Milstein, A Jay Holmgren, Peter Kralovec, Chantal Worzala, Talisha Searcy, and Vaishali Patel · 2017
Cited alongside, same era.
Snorkel: Rapid training data creation with weak supervision
Alexander Ratner, Stephen H Bach, Henry Ehrenberg, Jason Fries, Sen Wu, and Christopher Ré · 2017
Cited alongside, same era.
Multi-label classification of patient notes: case study on icd code assignment
Tal Baumel, Jumana Nassour-Kassis, Raphael Cohen, Michael Elhadad, and Noémie Elhadad · 2018
Cited alongside, same era.
Bert: Pre-training of deep bidirectional transformers for language understanding
Jacob Devlin, Ming-Wei Chang, Kenton Lee, and Kristina Toutanova · 2018
Cited alongside, same era.
Weakly-supervised neural text classification
Yu Meng, Jiaming Shen, Chao Zhang, and Jiawei Han · 2018
Cited alongside, same era.
Pairwise feedback for data programming
Benedikt Boecking and Artur Dubrawski · 2019
Cited alongside, same era.
Ying Yu, Min Li, Liangliang Liu, Zhihui Fei, Fang-Xiang Wu, and Jianxin Wang · 2019
Later among the works it cites.
Automatic icd code classification with label description attention mechanism
Kathryn Annette Chapman and Günter Neumann · 2020
Later among the works it cites.
Text classification using label names only: A language model self-training approach
Yu Meng, Yunyi Zhang, Jiaxin Huang, Chenyan Xiong, Heng Ji, Chao Zhang, and Jiawei Han · 2020
Later among the works it cites.
Mpnet: Masked and permuted pre-training for language understanding
Kaitao Song, Xu Tan, Tao Qin, Jianfeng Lu, and Tie-Yan Liu · 2020
Later among the works it cites.
Fastag: Automatic text classification of unstructured medical narratives
Guhan Ram Venkataraman, Arturo Lopez Pineda, Oliver J Bear Don’t Walk IV, Ashley M Zehnder, Sandeep Ayyar, Rodney L Page, Carlos D Bustamante, and Manuel A Rivas · 2020
Later among the works it cites.
Historical development of the statistical classification of causes of death and diseases
Musaed Ali Alharbi, Godfrey Isouard, and Barry Tolchard · 2021
Later among the works it cites.
Using weak supervision and deep learning to classify clinical notes for identification of current suicidal ideation
Marika Cusick, Prakash Adekkanattu, Thomas R Campion Jr, Evan T Sholle, Annie Myers, Samprit Banerjee, George Alexopoulos, Yanshan Wang, and Jyotishman Pathak · 2021
Later among the works it cites.
Weak supervision for affordable modeling of electrocardiogram data
Mononito Goswami, Benedikt Boecking, and Artur Dubrawski · 2021
Later among the works it cites.
International classification of diseases — Wikipedia, the free encyclopedia, 2021
Wikipedia contributors · 2021
Later among the works it cites.