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Electronic health records (EHR) contain a wealth of biomedical information, serving as valuable resources for the development of precision medicine systems.
Bias correction of learned generative models using likelihood-free importance weighting
Aditya Grover, Jiaming Song, Alekh Agarwal, Kenneth Tran, Ashish Kapoor, Eric Horvitz, and Stefano Ermon · 1906
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Nutzung der ekg-signaldatenbank cardiodat der ptb über das internet
Ralf Bousseljot, Dieter Kreiseler, and Allard Schnabel · 1995
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Legal Issues Concerning Electronic Health InformationPrivacy, Quality, and Liability
James G. Hodge, Jr, Lawrence O. Gostin, and Peter D. Jacobson · 1999
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Amirsina Torfi and Edward A Fox · 2001
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Extracting and composing robust features with denoising autoencoders
Pascal Vincent, Hugo Larochelle, Yoshua Bengio, and Pierre-Antoine Manzagol · 2008
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Data-driven approach for creating synthetic electronic medical records
Anna L. Buczak, S. Babin, and Linda J. Moniz · 2010
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Rectified linear units improve restricted boltzmann machines
Vinod Nair and Geoffrey E. Hinton · 2010
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Patient specific predictions in the intensive care unit using a bayesian ensemble
Alistair EW Johnson, Nic Dunkley, Louis Mayaud, Athanasios Tsanas, Andrew A Kramer, and Gari D Clifford · 2012
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Predicting in-hospital mortality of icu patients: The physionet/computing in cardiology challenge 2012
Ikaro Silva, George Moody, Daniel J Scott, Leo A Celi, and Roger G Mark · 2012
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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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Batch normalization: Accelerating deep network training by reducing internal covariate shift
Sergey Ioffe and Christian Szegedy · 2015
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Deep unsupervised learning using nonequilibrium thermodynamics
Jascha Sohl-Dickstein, Eric Weiss, Niru Maheswaranathan, and Surya Ganguli · 2015
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Jimmy Lei Ba, Jamie Ryan Kiros, and Geoffrey E. Hinton · 2016
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Mimic-iii, a freely accessible critical care database
Alistair E. W. Johnson, Tom J. Pollard, Lu Shen, Li wei H. Lehman, Mengling Feng, Mohammad Mahdi Ghassemi, Benjamin Moody, Peter Szolovits, Leo Anthony Celi, and Roger G. Mark · 2016
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Mode regularized generative adversarial networks, 2017
Tong Che, Yanran Li, Athul Paul Jacob, Yoshua Bengio, and Wenjie Li · 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
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Lightgbm: A highly efficient gradient boosting decision tree
Guolin Ke, Qi Meng, Thomas Finley, Taifeng Wang, Wei Chen, Weidong Ma, Qiwei Ye, and Tie-Yan Liu · 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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Banach wasserstein gan
Jonas Adler and Sebastian Lunz · 2018
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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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Boundary seeking GANs
R Devon Hjelm, Athul Paul Jacob, Adam Trischler, Gerry Che, Kyunghyun Cho, and Yoshua Bengio · 2018
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Ecg heartbeat classification: A deep transferable representation
Measuring fairness in generative models
Christopher T. H. Teo and Ngai-Man Cheung · 2021
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Hongyi Yuan and Sheng Yu · 2021
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Deep learning for diagnosing patients with rare genetic diseases
Emily Alsentzer, Michelle M. Li, Shilpa N. Kobren, Undiagnosed Diseases Network, Isaac S. Kohane, and Marinka Zitnik · 2022
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Ghadeer O. Ghosheh, Jin Li, and Tingting Zhu · 2022
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Elucidating the design space of diffusion-based generative models
Tero Karras, Miika Aittala, Timo Aila, and Samuli Laine · 2022
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Mohammad Kachuee, Shayan Fazeli, and Majid Sarrafzadeh · 2018
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On catastrophic forgetting and mode collapse in generative adversarial networks
Hoang Thanh-Tung, T. Tran, and Svetha Venkatesh · 2018
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Research on k-value selection method of k-means clustering algorithm
Chunhui Yuan and Haitao Yang · 2019
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Ensuring electronic medical record simulation through better training, modeling, and evaluation
Ziqi Zhang, Chao Yan, Diego A Mesa, Jimeng Sun, and Bradley A Malin · 2019
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Eva: Generating longitudinal electronic health records using conditional variational autoencoders
Siddharth Biswal, Soumya Shubhra Ghosh, Jon D. Duke, Bradley A. Malin, Walter F. Stewart, and Jimeng Sun · 2020
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Denoising diffusion probabilistic models
Jonathan Ho, Ajay Jain, and Pieter Abbeel · 2020
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Expert-supervised reinforcement learning for offline policy learning and evaluation
Aaron Sonabend, Junwei Lu, Leo Anthony Celi, Tianxi Cai, and Peter Szolovits · 2020
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Tabddpm: Modelling tabular data with diffusion models, 2022
Akim Kotelnikov, Dmitry Baranchuk, Ivan Rubachev, and Artem Babenko · 2022
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Diffusion-LM improves controllable text generation
Xiang Lisa Li, John Thickstun, Ishaan Gulrajani, Percy Liang, and Tatsunori Hashimoto · 2022
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Fair generative models via transfer learning
Christopher T. H. Teo, Milad Abdollahzadeh, and Ngai-Man Cheung · 2022
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Promptehr: Conditional electronic healthcare records generation with prompt learning
Zifeng Wang and Jimeng Sun · 2022
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A multifaceted benchmarking of synthetic electronic health record generation models
Chao Yan, Yao Yan, Zhiyu Wan, Ziqi Zhang, Larsson Omberg, Justin Guinney, Sean D. Mooney, and Bradley A. Malin · 2022
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Seqdiffuseq: Text diffusion with encoder-decoder transformers
Hongyi Yuan, Zheng Yuan, Chuanqi Tan, Fei Huang, and Songfang Huang · 2022
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Synthesizing mixed-type electronic health records using diffusion models, 2023
Taha Ceritli, Ghadeer O. Ghosheh, Vinod Kumar Chauhan, Tingting Zhu, Andrew P. Creagh, and David A. Clifton · 2023
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Diffuseq: Sequence to sequence text generation with diffusion models, 2023
Shansan Gong, Mukai Li, Jiangtao Feng, Zhiyong Wu, and Lingpeng Kong · 2023
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Meddiff: Generating electronic health records using accelerated denoising diffusion model, 2023
Huan He, Shifan Zhao, Yuanzhe Xi, and Joyce C Ho · 2023
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Mimic-iv, a freely accessible electronic health record dataset
Alistair E. W. Johnson, Lucas Bulgarelli, Lu Shen, Alvin Gayles, Ayad Shammout, Steven Horng, Tom J. Pollard, Benjamin Moody, Brian Gow, Li wei H. Lehman, Leo Anthony Celi, and Roger G. Mark · 2023
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