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Researchers require timely access to real-world longitudinal electronic health records (EHR) to develop, test, validate, and implement machine learning solutions that improve the quality and efficiency of healthcare.
A learning algorithm for boltzmann machines
David H Ackley, Geoffrey E Hinton, and Terrence J Sejnowski · 1987
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Data-driven approach for creating synthetic electronic medical records
Anna Buczak, Steven Babin, and Linda Moniz · 2010
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A systematic review of re-identification attacks on health data
Khaled El Emam, Elizabeth Jonker, Luk Arbuckle, and Bradley Malin · 2011
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Auto-encoding variational bayes
Diederik P Kingma and Max Welling · 2013
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Clinical decision-support systems
Mark A Musen, Blackford Middleton, and Robert A Greenes · 2014
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Marble: high-throughput phenotyping from electronic health records via sparse nonnegative tensor factorization
Joyce C. Ho, Joydeep Ghosh, and Jimeng Sun · 2014
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Generative adversarial nets
Ian Goodfellow, Jean Pouget-Abadie, Mehdi Mirza, Bing Xu, David Warde-Farley, Sherjil Ozair, Aaron Courville, and Yoshua Bengio · 2014
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Semi-supervised learning with deep generative models
Diederik P Kingma, Shakir Mohamed, Danilo Jimenez Rezende, and Max Welling · 2014
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Amortized inference in probabilistic reasoning
Samuel Gershman and Noah Goodman · 2014
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Adam: A method for stochastic optimization
Diederik P Kingma and Jimmy Ba · 2014
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Rubik: Knowledge guided tensor factorization and completion for health data analytics
Yichen Wang, Robert Chen, Joydeep Ghosh, Joshua C. Denny, Abel N. Kho, You Chen, Bradley A. Malin, and Jimeng Sun · 2015
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Anonymising and sharing individual patient data
Khaled El Emam, Sam Rodgers, and Bradley Malin · 2015
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Generating sentences from a continuous space
Samuel R Bowman, Luke Vilnis, Oriol Vinyals, Andrew M Dai, Rafal Jozefowicz, and Samy Bengio · 2015
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A recurrent latent variable model for sequential data
Junyoung Chung, Kyle Kastner, Laurent Dinh, Kratarth Goel, Aaron C. Courville, and Yoshua Bengio · 2015
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Adoption of electronic health record systems among us non-federal acute care hospitals: 2008-2015
J Henry, Yuriy Pylypchuk, and Vaishali Patel · 2016
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Doctor AI: Predicting clinical events via recurrent neural networks
Edward Choi, Mohammad Taha Bahadori, Andy Schuetz, Walter F. Stewart, and Jimeng Sun · 2016
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Wavenet: A generative model for raw audio
Aaron Van Den Oord, Sander Dieleman, Heiga Zen, Karen Simonyan, Oriol Vinyals, Alex Graves, Nal Kalchbrenner, Andrew Senior, and Koray Kavukcuoglu · 2016
Improved variational autoencoders for text modeling using dilated convolutions
Zichao Yang, Zhiting Hu, Ruslan Salakhutdinov, and Taylor Berg-Kirkpatrick · 2017
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A hybrid convolutional variational autoencoder for text generation
Stanislau Semeniuta, Aliaksei Severyn, and Erhardt Barth · 2017
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Seqgan: Sequence generative adversarial nets with policy gradient
Lantao Yu, Weinan Zhang, Jun Wang, and Yong Yu · 2017
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Tim Salimans, Andrej Karpathy, Xi Chen, and Diederik P Kingma · 2017
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Toward controlled generation of text
Zhiting Hu, Zichao Yang, Xiaodan Liang, Ruslan Salakhutdinov, and Eric P Xing · 2017
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Language as a latent variable: Discrete generative models for sentence compression
Yishu Miao and Phil Blunsom · 2016
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Preconditioned stochastic gradient langevin dynamics for deep neural networks
Chunyuan Li, Changyou Chen, David E Carlson, and Lawrence Carin · 2016
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Automatic chemical design using a data-driven continuous representation of molecules
Rafael Gómez-Bombarelli, Jennifer N Wei, David Duvenaud, José Miguel Hernández-Lobato, Benjamín Sánchez-Lengeling, Dennis Sheberla, Jorge Aguilera-Iparraguirre, Timothy D Hirzel, Ryan P Adams, and Alán Aspuru-Guzik · 2016
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An improved multi-output gaussian process rnn with real-time validation for early sepsis detection
Joseph Futoma, Sanjay Hariharan, Katherine Heller, Mark Sendak, Nathan Brajer, Meredith Clement, Armando Bedoya, and Cara O’Brien · 2017
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Generating multi-label discrete patient records using generative adversarial networks
Edward Choi, Siddharth Biswal, Bradley Malin, Jon Duke, Walter F Stewart, and Jimeng Sun · 2017
Cited alongside, same era.
Privacy-preserving generative deep neural networks support clinical data sharing
Brett K Beaulieu-Jones, Zhiwei Steven Wu, Chris Williams, and Casey S Greene · 2017
Cited alongside, same era.
Learning disentangled representations with semi-supervised deep generative models
Siddharth Narayanaswamy, T. Brooks Paige, Jan-Willem van de Meent, Alban Desmaison, Noah Goodman, Pushmeet Kohli, Frank Wood, and Philip Torr · 2017
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Unsupervised learning of disentangled and interpretable representations from sequential data
Wei-Ning Hsu, Yu Zhang, and James Glass · 2017
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Synthea: An approach, method, and software mechanism for generating synthetic patients and the synthetic electronic health care record
Jason Walonoski, Mark Kramer, Joseph Nichols, Andre Quina, Chris Moesel, Dylan Hall, Carlton Duffett, Kudakwashe Dube, Thomas Gallagher, and Scott McLachlan · 2017
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Synthesizing electronic health records using improved generative adversarial networks
Mrinal Kanti Baowaly, Chia-Ching Lin, Chao-Lin Liu, and Kuan-Ta Chen · 2018
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Multimodal generative models for scalable weakly-supervised learning
Mike Wu and Noah Goodman · 2018
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The aten framework for creating the realistic synthetic electronic health record
Scott McLachlan, Kudakwashe Dube, Thomas Gallagher, Bridget Daley, and Jason Walonoski · 2018
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