Fetching the paper…
Reading the bibliography…
The clinical time-series setting poses a unique combination of challenges to data modeling and sharing.
k-anonymity: A model for protecting privacy
L. Sweeney · 2002
Earlier work this paper cites.
t-closeness: Privacy beyond k-anonymity and l-diversity
N. Li, T. Li, and S. Venkitasubramaniam · 2007
Earlier work this paper cites.
l-diversity: Privacy beyond k-anonymity
A. Machanavajjhala, D. Kifer, J. Gehrke, and M. Venkitasubramaniam · 2007
Earlier work this paper cites.
The algorithmic foundations of differential privacy
Cynthia Dwork, Aaron Roth, et al · 2014
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
Earlier work this paper cites.
C-rnn-gan: Continuous recurrent neural networks with adversarial training
Olof Mogren · 2016
Earlier work this paper cites.
Prediction of early unplanned intensive care unit readmission in a UK tertiary care hospital: a cross-sectional machine learning approach
T. Desautels, R. Das, J. Calvert, M. Trivedi, C. Summers, D. J. Wales, and A. Ercole · 2017
Earlier work this paper cites.
Real-valued (medical) time series generation with recurrent conditional gans
Cristóbal Esteban, Stephanie L Hyland, and Gunnar Rätsch · 2017
Cited alongside, same era.
The DeepMind debacle demands dialogue on data
H. Shah · 2017
Cited alongside, same era.
Critical Care Health Informatics Collaborative (CCHIC): Data, tools and methods for reproducible research: A multi-centre UK intensive care database
S. Harris, S. Shi, D. Brealey, N. S. MacCallum, S. Denaxas, D. Perez-Suarez, A. Ercole, P. Watkinson, A. Jones, S. Ashworth, R. Beale, D. Young, S. Brett, and M. Singer · 2018
Cited alongside, same era.
Giorgia Ramponi, Pavlos Protopapas, Marco Brambilla, and Ryan Janssen · 2018
Cited alongside, same era.
PATE-GAN: Generating synthetic data with differential privacy guarantees
James Jordon, Jinsung Yoon, and Mihaela van der Schaar · 2019
Later among the works it cites.
Privacy in the age of medical big data
W. N. Price and I. G. Cohen · 2019
Later among the works it cites.
Use of machine learning to analyse routinely collected intensive care unit data: a systematic review
D. Shillan, J. A. C. Sterne, A. Champneys, and B. Gibbison · 2019
Later among the works it cites.
Time-series generative adversarial networks
Jinsung Yoon, Daniel Jarrett, and Mihaela van der Schaar · 2019
Later among the works it cites.
Guidelines for Data Acquisition, Quality & Curation for Observational Research Designs (DAQCORD)
A. Ercole, V. Brinck, J. Huijben, P. George, R. Hicks, M. Jarrett, M. Vassar, and L. Wilson · 2020
Closest in time.
Machine learning for the prediction of sepsis: a systematic review and meta-analysis of diagnostic test accuracy
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
Liyang Xie, Kaixiang Lin, Shu Wang, Fei Wang, and Jiayu Zhou · 2018
Cited alongside, same era.
Differential Privacy Synthetic Data Generation using WGANs, 2019
Moustafa Alzantot and Mani Srivastava · 2019
Cited alongside, same era.
Assessing differentially private deep learning with membership inference
Daniel Bernau, Philip-William Grassal, Jonas Robl, and Florian Kerschbaum · 2019
Cited alongside, same era.
L. M. Fleuren, T. L. T. Klausch, C. L. Zwager, L. J. Schoonmade, T. Guo, L. F. Roggeveen, E. L. Swart, A. R. J. Girbes, P. Thoral, A. Ercole, M. Hoogendoorn, and P. W. G. Elbers · 2020
Closest in time.
Anonymization through data synthesis using generative adversarial networks (ads-gan)
Jinsung Yoon, Lydia N Drumright, and Mihaela van der Schaar · 2020
Closest in time.