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Deep learning models have exhibited superior performance in predictive tasks with the explosively increasing Electronic Health Records (EHR).
Bayesian learning via stochastic dynamics. In Advances in neural information processing systems . 475–482
Radford M Neal. 1993 · 1993
Earlier work this paper cites.
Robust automatic speech recognition with missing and unreliable acoustic data
Martin Cooke, Phil Green, Ljubomir Josifovski, and Ascension Vizinho. 2001 · 2001
Earlier work this paper cites.
Heteroscedastic Gaussian process regression. In Proceedings of the 22nd international conference on Machine learning . ACM, 489–496
Quoc V Le, Alex J Smola, and Stéphane Canu. 2005 · 2005
Earlier work this paper cites.
A unified architecture for natural language processing: Deep neural networks with multitask learning. In Proceedings of the 25th international conference on Machine learning . ACM, 160–167
Ronan Collobert and Jason Weston. 2008 · 2008
Earlier work this paper cites.
Aleatory or epistemic? Does it matter?
Armen Der Kiureghian and Ove Ditlevsen. 2009 · 2009
Earlier work this paper cites.
Imagenet classification with deep convolutional neural networks. In Advances in neural information processing systems . 1097–1105
Alex Krizhevsky, Ilya Sutskever, and Geoffrey E Hinton. 2012 · 2012
Earlier work this paper cites.
Points of significance: Importance of being uncertain
Martin Krzywinski and Naomi Altman. 2013 · 2013
Earlier work this paper cites.
Probabilistic machine learning and artificial intelligence
Zoubin Ghahramani. 2015 · 2015
Cited alongside, same era.
Deep learning
Yann LeCun, Yoshua Bengio, and Geoffrey Hinton. 2015 · 2015
Cited alongside, same era.
Risk prediction with electronic health records: A deep learning approach. In Proceedings of the 2016 SIAM International Conference on Data Mining . SIAM, 432–440
Yu Cheng, Fei Wang, Ping Zhang, and Jianying Hu. 2016 · 2016
Cited alongside, same era.
Uncertainty in deep learning
Yarin Gal. 2016 · 2016
Cited alongside, same era.
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
Cited alongside, same era.
Multitask learning and benchmarking with clinical time series data
Benchmark of deep learning models on large healthcare mimic datasets
Sanjay Purushotham, Chuizheng Meng, Zhengping Che, and Yan Liu. 2017 · 2017
Later among the works it cites.
Learning hand-eye coordination for robotic grasping with deep learning and large-scale data collection
Sergey Levine, Peter Pastor, Alex Krizhevsky, Julian Ibarz, and Deirdre Quillen. 2018 · 2018
Later among the works it cites.
Benchmarking deep learning models on large healthcare datasets
Sanjay Purushotham, Chuizheng Meng, Zhengping Che, and Yan Liu. 2018 · 2018
Later among the works it cites.
Aditya Siddhant and Zachary C Lipton. 2018 · 2018
Later among the works it cites.
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Hrayr Harutyunyan, Hrant Khachatrian, David C Kale, Greg Ver Steeg, and Aram Galstyan. 2017 · 2017
Cited alongside, same era.
What uncertainties do we need in bayesian deep learning for computer vision?. In Advances in neural information processing systems . 5574–5584
Alex Kendall and Yarin Gal. 2017 · 2017
Cited alongside, same era.
Dropout as a bayesian approximation: Representing model uncertainty in deep learning. In international conference on machine learning . 1050–1059
Yarin Gal and Zoubin Ghahramani. 2016a
Cited in the paper.
A theoretically grounded application of dropout in recurrent neural networks. In Advances in neural information processing systems . 1019–1027
Yarin Gal and Zoubin Ghahramani. 2016b
Cited in the paper.
Synced. 2018 · 2018
Later among the works it cites.
Guidelines for reinforcement learning in healthcare
Omer Gottesman, Fredrik Johansson, Matthieu Komorowski, Aldo Faisal, David Sontag, Finale Doshi-Velez, and Leo Anthony Celi. 2019 · 2019
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