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Past studies on the ICD coding problem focus on predicting clinical codes primarily based on the discharge summary.
Roberta: A robustly optimized bert pretraining approach
Yinhan Liu, Myle Ott, Naman Goyal, Jingfei Du, Mandar Joshi, Danqi Chen, Omer Levy, Mike Lewis, Luke Zettlemoyer, and Veselin Stoyanov. 2019 · 1907
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International classification of diseases:[9th] ninth revision, basic tabulation list with alphabetic index
World Health Organization. 1978 · 1978
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Longformer: The long-document transformer
Iz Beltagy, Matthew E Peters, and Arman Cohan. 2020 · 2004
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Measuring diagnoses: Icd code accuracy
Kimberly J O’Malley, Karon F Cook, Matt D Price, Kimberly Raiford Wildes, John F Hurdle, and Carol M Ashton. 2005 · 2005
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Mimic-iii, a freely accessible critical care database
Alistair EW 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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Learning to write notes in electronic health records
Peter J Liu. 2018 · 2018
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Explainable prediction of medical codes from clinical text
James Mullenbach, Sarah Wiegreffe, Jon Duke, Jimeng Sun, and Jacob Eisenstein. 2018 · 2018
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Publicly available clinical bert embeddings
Emily Alsentzer, John Murphy, William Boag, Wei-Hung Weng, Di Jindi, Tristan Naumann, and Matthew McDermott. 2019 · 2019
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Transformer-xl: Attentive language models beyond a fixed-length context
Zihang Dai, Zhilin Yang, Yiming Yang, Jaime G Carbonell, Quoc Le, and Ruslan Salakhutdinov. 2019 · 2019
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Bert: Pre-training of deep bidirectional transformers for language understanding
Jacob Devlin, Ming-Wei Chang, Kenton Lee, and Kristina Toutanova. 2019 · 2019
Cited alongside, same era.
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 · 2019
Cited alongside, same era.
Super-convergence: Very fast training of neural networks using large learning rates
Leslie N Smith and Nicholay Topin. 2019 · 2019
Cited alongside, same era.
Ehr coding with multi-scale feature attention and structured knowledge graph propagation
Xiancheng Xie, Yun Xiong, Philip S Yu, and Yangyong Zhu. 2019 · 2019
Cited alongside, same era.
Hibert: Document level pre-training of hierarchical bidirectional transformers for document summarization
Xingxing Zhang, Furu Wei, and Ming Zhou. 2019 · 2019
Cited alongside, same era.
Limitations of transformers on clinical text classification
Shang Gao, Mohammed Alawad, M Todd Young, John Gounley, Noah Schaefferkoetter, Hong Jun Yoon, Xiao-Cheng Wu, Eric B Durbin, Jennifer Doherty, Antoinette Stroup, et al. 2021 · 2021
Later among the works it cites.
Domain-specific language model pretraining for biomedical natural language processing
Yu Gu, Robert Tinn, Hao Cheng, Michael Lucas, Naoto Usuyama, Xiaodong Liu, Tristan Naumann, Jianfeng Gao, and Hoifung Poon. 2021 · 2021
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Does the magic of bert apply to medical code assignment? a quantitative study
Shaoxiong Ji, Matti Hölttä, and Pekka Marttinen. 2021 · 2021
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Effective convolutional attention network for multi-label clinical document classification
Yang Liu, Hua Cheng, Russell Klopfer, Matthew R Gormley, and Thomas Schaaf. 2021 · 2021
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Towards bert-based automatic icd coding: Limitations and opportunities
Damian Pascual, Sandro Luck, and Roger Wattenhofer. 2021 · 2021
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Don’t stop pretraining: Adapt language models to domains and tasks
Suchin Gururangan, Ana Marasović, Swabha Swayamdipta, Kyle Lo, Iz Beltagy, Doug Downey, and Noah A Smith. 2020 · 2020
Cited alongside, same era.
Biobert: a pre-trained biomedical language representation model for biomedical text mining
J Lee, W Yoon, S Kim, D Kim, CH So, and J Kang. 2020 · 2020
Cited alongside, same era.
Pretrained language models for biomedical and clinical tasks: understanding and extending the state-of-the-art
Patrick Lewis, Myle Ott, Jingfei Du, and Veselin Stoyanov. 2020 · 2020
Cited alongside, same era.
Big bird: Transformers for longer sequences
Manzil Zaheer, Guru Guruganesh, Kumar Avinava Dubey, Joshua Ainslie, Chris Alberti, Santiago Ontanon, Philip Pham, Anirudh Ravula, Qifan Wang, Li Yang, et al. 2020 · 2020
Cited alongside, same era.
A label attention model for icd coding from clinical text
Thanh Vu, Dat Quoc Nguyen, and Anthony Nguyen. 2021 · 2021
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Revisiting transformer-based models for long document classification
Xiang Dai, Ilias Chalkidis, Sune Darkner, and Desmond Elliott. 2022 · 2022
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Plm-icd: Automatic icd coding with pretrained language models
Chao-Wei Huang, Shang-Chi Tsai, and Yun-Nung Chen. 2022 · 2022
Later among the works it cites.
Code synonyms do matter: Multiple synonyms matching network for automatic icd coding
Zheng Yuan, Chuanqi Tan, and Songfang Huang. 2022 · 2022
Later among the works it cites.