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The recent availability of electronic health records (EHRs) have provided enormous opportunities to develop artificial intelligence (AI) algorithms.
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Zhengping Che, Sanjay Purushotham, Kyunghyun Cho, David Sontag, and Yan Liu · 2018
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Alexander Meyer, Dina Zverinski, Boris Pfahringer, Jörg Kempfert, Titus Kuehne, Simon H Sündermann, Christof Stamm, Thomas Hofmann, Volkmar Falk, and Carsten Eickhoff · 2018
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Sanjay Purushotham, Chuizheng Meng, Zhengping Che, and Yan Liu · 2018
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Dongha Lee, Hwanjo Yu, Xiaoqian Jiang, Deevakar Rogith, Meghana Gudala, Mubeen Tejani, Qiuchen Zhang, and Li Xiong · 2020
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Chao Yan, Ziqi Zhang, Steve Nyemba, and Bradley A Malin · 2020
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Ziyu Wan, Bo Zhang, Dongdong Chen, Pan Zhang, Dong Chen, Jing Liao, and Fang Wen · 2020
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Shirly Wang, Matthew BA McDermott, Geeticka Chauhan, Marzyeh Ghassemi, Michael C Hughes, and Tristan Naumann · 2020
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2021
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Chen, R. J., Lu, M. Y., Chen, T. Y., Williamson, D. F. & Mahmood, F. (2021), ‘Synthetic data in machine learning for medicine and healthcare’, Nature Biomedical Engineering
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Synthetic data at CPRD, howpublished = h ttps://www.cprd.com/content/synthetic-data · 2021
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2021
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2021
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Synteg: a framework for temporal structured electronic health data simulation
Ziqi Zhang, Chao Yan, Thomas A Lasko, Jimeng Sun, and Bradley A Malin · 2021
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Hirid-icu-benchmark—a comprehensive machine learning benchmark on high-resolution icu data
Hugo Yèche, Rita Kuznetsova, Marc Zimmermann, Matthias Hüser, Xinrui Lyu, Martin Faltys, and Gunnar Ratsch · 2021
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Temporal pointwise convolutional networks for length of stay prediction in the intensive care unit
Emma Rocheteau, Pietro Liò, and Stephanie Hyland · 2021
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2022
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Keeping synthetic patients on track: feedback mechanisms to mitigate performance drift in longitudinal health data simulation
Ziqi Zhang, Chao Yan, and Bradley A Malin · 2022
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Generating synthetic mixed discrete-continuous health records with mixed sum-product networks
Shannon KS Kroes, Matthijs van Leeuwen, Rolf HH Groenwold, and Mart P Janssen · 2022
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