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Healthcare is becoming a more and more important research topic recently.
Clinicalbert: Modeling clinical notes and predicting hospital readmission
Kexin Huang, Jaan Altosaar, and Rajesh Ranganath. 2019 · 1904
Earlier work this paper cites.
Democratizing ehr analyses with fiddle: a flexible data-driven preprocessing pipeline for structured clinical data
Shengpu Tang, Parmida Davarmanesh, Yanmeng Song, Danai Koutra, Michael W Sjoding, and Jenna Wiens. 2020 · 1934
Earlier work this paper cites.
The international classification of diseases: ninth revision (icd-9)
Vergil N Slee. 1978 · 1978
Earlier work this paper cites.
Long short-term memory
Sepp Hochreiter and Jürgen Schmidhuber. 1997 · 1997
Earlier work this paper cites.
Gradient-based learning applied to document recognition
Yann LeCun, Léon Bottou, Yoshua Bengio, and Patrick Haffner. 1998 · 1998
Earlier work this paper cites.
Imagenet: A large-scale hierarchical image database
Jia Deng, Wei Dong, Richard Socher, Li-Jia Li, Kai Li, and Li Fei-Fei. 2009 · 2009
Earlier work this paper cites.
Adam: A method for stochastic optimization
Diederik P Kingma and Jimmy Ba. 2014 · 2014
Earlier work this paper cites.
Results of the wmt14 metrics shared task
Matouš Macháček and Ondřej Bojar. 2014 · 2014
Earlier work this paper cites.
Doctor ai: Predicting clinical events via recurrent neural networks
Edward Choi, Mohammad Taha Bahadori, Andy Schuetz, Walter F Stewart, and Jimeng Sun. 2016 · 2016
Earlier work this paper cites.
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
Earlier work this paper cites.
Google’s neural machine translation system: Bridging the gap between human and machine translation
Yonghui Wu, Mike Schuster, Zhifeng Chen, Quoc V Le, Mohammad Norouzi, Wolfgang Macherey, Maxim Krikun, Yuan Cao, Qin Gao, Klaus Macherey, et al. 2016 · 2016
Cited alongside, same era.
Deep multimodal learning: A survey on recent advances and trends
Dhanesh Ramachandram and Graham W Taylor. 2017 · 2017
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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.
Tensor fusion network for multimodal sentiment analysis
Amir Zadeh, Minghai Chen, Soujanya Poria, Erik Cambria, and Louis-Philippe Morency. 2017 · 2017
Cited alongside, same era.
What’s in a note? unpacking predictive value in clinical note representations
Willie Boag, Dustin Doss, Tristan Naumann, and Peter Szolovits. 2018 · 2018
Cited alongside, same era.
Mnn: Multimodal attentional neural networks for diagnosis prediction
Zhi Qiao, Xian Wu, Shen Ge, and Wei Fan. 2019 · 2019
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Gamenet: Graph augmented memory networks for recommending medication combination
Junyuan Shang, Cao Xiao, Tengfei Ma, Hongyan Li, and Jimeng Sun. 2019 · 2019
Later among the works it cites.
Multimodal ensemble approach to incorporate various types of clinical notes for predicting readmission
Bonggun Shin, Julien Hogan, Andrew B Adams, Raymond J Lynch, Rachel E Patzer, and Jinho D Choi. 2019 · 2019
Later among the works it cites.
Multimodal transformer for unaligned multimodal language sequences
Yao-Hung Hubert Tsai, Shaojie Bai, Paul Pu Liang, J. Zico Kolter, Louis-Philippe Morency, and Ruslan Salakhutdinov. 2019 · 2019
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Words can shift: Dynamically adjusting word representations using nonverbal behaviors
Yansen Wang, Ying Shen, Zhun Liu, Paul Pu Liang, Amir Zadeh, and Louis-Philippe Morency. 2019 · 2019
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Efficient low-rank multimodal fusion with modality-specific factors
Zhun Liu, Ying Shen, Varun Bharadhwaj Lakshminarasimhan, Paul Pu Liang, AmirAli Bagher Zadeh, and Louis-Philippe Morency. 2018 · 2018
Cited alongside, same era.
Knowledge guided multi-instance multi-label learning via neural networks in medicines prediction
Junyuan Shang, Shenda Hong, Yuxi Zhou, Meng Wu, and Hongyan Li. 2018 · 2018
Cited alongside, same era.
Raim: Recurrent attentive and intensive model of multimodal patient monitoring data
Yanbo Xu, Siddharth Biswal, Shriprasad R Deshpande, Kevin O Maher, and Jimeng Sun. 2018 · 2018
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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.
Star-transformer
Qipeng Guo, Xipeng Qiu, Pengfei Liu, Yunfan Shao, Xiangyang Xue, and Zheng Zhang. 2019 · 2019
Cited alongside, same era.
Integrating multimodal information in large pretrained transformers
Wasifur Rahman, Md Kamrul Hasan, Sangwu Lee, Amir Zadeh, Chengfeng Mao, Louis-Philippe Morency, and Ehsan Hoque. 2020 · 2020
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Mimic-extract: A data extraction, preprocessing, and representation pipeline for mimic-iii
Shirly Wang, Matthew BA McDermott, Geeticka Chauhan, Marzyeh Ghassemi, Michael C Hughes, and Tristan Naumann. 2020 · 2020
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Vime: Extending the success of self- and semi-supervised learning to tabular domain
Jinsung Yoon, Yao Zhang, James Jordon, and Mihaela van der Schaar. 2020 · 2020
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DCN V2: improved deep & cross network and practical lessons for web-scale learning to rank systems
Ruoxi Wang, Rakesh Shivanna, Derek Zhiyuan Cheng, Sagar Jain, Dong Lin, Lichan Hong, and Ed Chi. 2021 · 2021
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Mufasa: Multimodal fusion architecture search for electronic health records
Zhen Xu, David R So, and Andrew M Dai. 2021 · 2021
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