Fetching the paper…
Reading the bibliography…
Clinical interactions are initially recorded and documented in free text medical notes.
Biobert: 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
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 McDermott. 2019 · 1904
Earlier work this paper cites.
Clinicalbert: Modeling clinical notes and predicting hospital readmission
Kexin Huang, Jaan Altosaar, and Rajesh Ranganath. 2019 · 1904
Earlier work this paper cites.
Pre-training with whole word masking for chinese bert
Yiming Cui, Wanxiang Che, Ting Liu, Bing Qin, Ziqing Yang, Shijin Wang, and Guoping Hu. 2019 · 1906
Earlier work this paper cites.
Pre-training of graph augmented transformers for medication recommendation
Junyuan Shang, Tengfei Ma, Cao Xiao, and Jimeng Sun. 2019 · 1906
Earlier work this paper cites.
Hospital inpatient costs for adults with multiple chronic conditions
Bernard Friedman, H Joanna Jiang, Anne Elixhauser, and Andrew Segal. 2006 · 2006
Earlier work this paper cites.
An overview of metamap: historical perspective and recent advances
Alan R Aronson and François-Michel Lang. 2010 · 2010
Earlier work this paper cites.
Mayo clinical text analysis and knowledge extraction system (ctakes): architecture, component evaluation and applications
Guergana K Savova, James J Masanz, Philip V Ogren, Jiaping Zheng, Sunghwan Sohn, Karin C Kipper-Schuler, and Christopher G Chute. 2010 · 2010
Earlier work this paper cites.
The prevalence of chronic conditions and medical expenditures of the elderly by chronic condition indicator (cci)
Mei-ju Chi, Cheng-yi Lee, and Shwu-chong Wu. 2011 · 2011
Earlier work this paper cites.
Capturing high quality electronic health records data to support performance improvement
Beacon Nation Learning Guide. 2013 · 2013
Earlier work this paper cites.
Distributed representations of words and phrases and their compositionality
Tomas Mikolov, Ilya Sutskever, Kai Chen, Greg S Corrado, and Jeff Dean. 2013 · 2013
Earlier work this paper cites.
Neural machine translation by jointly learning to align and translate
Dzmitry Bahdanau, Kyunghyun Cho, and Yoshua Bengio. 2014 · 2014
Cited alongside, same era.
Adam: A method for stochastic optimization
Diederik P Kingma and Jimmy Ba. 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 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 · 2016
Cited alongside, same era.
Electronic health records to facilitate clinical research
Martin R Cowie, Juuso I Blomster, Lesley H Curtis, Sylvie Duclaux, Ian Ford, Fleur Fritz, Samantha Goldman, Salim Janmohamed, Jörg Kreuzer, Mark Leenay, et al. 2017 · 2017
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 · 2018
Later among the works it cites.
Ecstra-aphp@ clef ehealth2018-task 1: Icd10 code extraction from death certificates
Rémi Flicoteaux. 2018 · 2018
Later among the works it cites.
Deep contextualized word representations
Matthew E Peters, Mark Neumann, Mohit Iyyer, Matt Gardner, Christopher Clark, Kenton Lee, and Luke Zettlemoyer. 2018 · 2018
Later among the works it cites.
Semehr: A general-purpose semantic search system to surface semantic data from clinical notes for tailored care, trial recruitment, and clinical research
Honghan Wu, Giulia Toti, Katherine I Morley, Zina M Ibrahim, Amos Folarin, Richard Jackson, Ismail Kartoglu, Asha Agrawal, Clive Stringer, Darren Gale, et al. 2018 · 2018
Later among the works it cites.
A neural architecture for automated icd coding
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
Towards automated icd coding using deep learning
Haoran Shi, Pengtao Xie, Zhiting Hu, Ming Zhang, and Eric P Xing. 2017 · 2017
Cited alongside, same era.
Clamp–a toolkit for efficiently building customized clinical natural language processing pipelines
Ergin Soysal, Jingqi Wang, Min Jiang, Yonghui Wu, Serguei Pakhomov, Hongfang Liu, and Hua Xu. 2017 · 2017
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 · 2017
Cited alongside, same era.
Starspace: Embed all the things!
Ledell Wu, Adam Fisch, Sumit Chopra, Keith Adams, Antoine Bordes, and Jason Weston. 2017 · 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 Noemie Elhadad. 2018 · 2018
Cited alongside, same era.
Pengtao Xie and Eric Xing. 2018 · 2018
Later among the works it cites.
Multimodal machine learning for automated icd coding
Keyang Xu, Mike Lam, Jingzhi Pang, Xin Gao, Charlotte Band, Pengtao Xie, and Eric Xing. 2018 · 2018
Later among the works it cites.
Ronghui You, Suyang Dai, Zihan Zhang, Hiroshi Mamitsuka, and Shanfeng Zhu. 2018 · 2018
Later among the works it cites.
Medication accuracy in electronic health records for microbial keratitis
Hamza A Ashfaq, Corey A Lester, Dena Ballouz, Josh Errickson, and Maria A Woodward. 2019 · 2019
Later among the works it cites.
Gile: A generalized input-label embedding for text classification
Nikolaos Pappas and James Henderson. 2019 · 2019
Later among the works it cites.
Classifying german animal experiment summaries with multi-lingual bert at clef ehealth 2019 task
Mario Sänger, Leon Weber, Madeleine Kittner, and Ulf Leser. 2019 · 2019
Later among the works it cites.