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Real-time prediction of clinical interventions remains a challenge within intensive care units (ICUs).
Learning long-term dependencies with gradient descent is difficult
Yoshua Bengio, Patrice Simard, and Paolo Frasconi · 1994
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Long short-term memory
Sepp Hochreiter and Jürgen Schmidhuber · 1997
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Latent dirichlet allocation
D. Blei, A. Ng, and M. Jordan · 2003
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Finding scientific topics
T. Griffiths and M. Steyvers · 2004
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Vasopressors for shock
Marcus Müllner, Bernhard Urbanek, Christof Havel, Heidrun Losert, Gunnar Gamper, and Harald Herkner · 2004
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Principles and practice of mechanical ventilation, 2006
Martin J Tobin · 2006
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Introduction to Information Retrieval
Christopher Manning, Prabhakar Raghavan, and Hinrich Schütze · 2008
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Multicenter, randomized, controlled trials evaluating mortality in intensive care: Doomed to fail?
Gustavo A Ospina-Tascón, Gustavo Luiz Büchele, and Jean-Louis Vincent · 2008
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Visualizing higher-layer features of a deep network
Dumitru Erhan, Yoshua Bengio, Aaron Courville, and Pascal Vincent · 2009
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Scikit-learn: Machine learning in Python
F. Pedregosa, G. Varoquaux, A. Gramfort, V. Michel, B. Thirion, O. Grisel, M. Blondel, P. Prettenhofer, R. Weiss, V. Dubourg, J. Vanderplas, A. Passos, D. Cournapeau, M. Brucher, M. Perrot, and E. Duchesnay · 2011
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Therapeutic strategies for high-dose vasopressor-dependent shock
Estevão Bassi, Marcelo Park, and Luciano Cesar Pontes Azevedo · 2013
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Adoption of electronic health record systems among us non-federal acute care hospitals: 2008-2012
Dustin Charles, Meghan Gabriel, and Michael F Furukawa · 2013
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Disease-based modeling to predict fluid response in intensive care units
AS Fialho, LA Celi, F Cismondi, SM Vieira, SR Reti, JM Sousa, SN Finkelstein, et al · 2013
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Critical care-where have we been and where are we going?
Jean-Louis Vincent · 2013
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Visualizing and understanding convolutional networks
Matthew D. Zeiler and Rob Fergus · 2013
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Unfolding physiological state: Mortality modelling in intensive care units
Marzyeh Ghassemi, Tristan Naumann, Finale Doshi-Velez, Nicole Brimmer, Rohit Joshi, Anna Rumshisky, and Peter Szolovits · 2014
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Fluid overload, de-resuscitation, and outcomes in critically ill or injured patients: a systematic review with suggestions for clinical practice
ML Malbrain, Paul E Marik, Ine Witters, Colin Cordemans, Andrew W Kirkpatrick, Derek J Roberts, and Niels Van Regenmortel · 2014
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Learning to diagnose with lstm recurrent neural networks
Zachary C Lipton, David C Kale, Charles Elkan, and Randall Wetzell · 2015
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Show, attend and tell: Neural image caption generation with visual attention
Kelvin Xu, Jimmy Ba, Ryan Kiros, Kyunghyun Cho, Aaron C Courville, Ruslan Salakhutdinov, Richard S Zemel, and Yoshua Bengio · 2015
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Recurrent neural networks for multivariate time series with missing values
Zhengping Che, Sanjay Purushotham, Kyunghyun Cho, David Sontag, and Yan Liu · 2016
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Retain: An interpretable predictive model for healthcare using reverse time attention mechanism
Edward Choi, Mohammad Taha Bahadori, Jimeng Sun, Joshua Kulas, Andy Schuetz, and Walter Stewart · 2016
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Predicting clinical events by combining static and dynamic information using recurrent neural networks
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Doctor AI: predicting clinical events via recurrent neural networks
Edward Choi, Mohammad Taha Bahadori, and Jimeng Sun · 2015
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Attention-based models for speech recognition
Jan K Chorowski, Dzmitry Bahdanau, Dmitriy Serdyuk, Kyunghyun Cho, and Yoshua Bengio · 2015
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Blood pressure targets for vasopressor therapy: A systematic review
Frederick D’Aragon, Emilie P Belley-Cote, Maureen O Meade, François Lauzier, Neill KJ Adhikari, Matthias Briel, Manoj Lalu, Salmaan Kanji, Pierre Asfar, Alexis F Turgeon, et al · 2015
Cited alongside, same era.
A multivariate timeseries modeling approach to severity of illness assessment and forecasting in icu with sparse, heterogeneous clinical data
Marzyeh Ghassemi, Marco AF Pimentel, Tristan Naumann, Thomas Brennan, David A Clifton, Peter Szolovits, and Mengling Feng · 2015
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Teaching machines to read and comprehend
Karl Moritz Hermann, Tomas Kocisky, Edward Grefenstette, Lasse Espeholt, Will Kay, Mustafa Suleyman, and Phil Blunsom · 2015
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Rahul G Krishnan, Uri Shalit, and David Sontag · 2015
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A prospective study of indexes predicting the outcome of trials of weaning from mechanical ventilation
Karl L Yang and Martin J Tobin
Cited in the paper.
Cristóbal Esteban, Oliver Staeck, Stephan Baier, Yinchong Yang, and Volker Tresp · 2016
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Office-based physician electronic health record adoption
Yang N Jamoom E and Hing E · 2016
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MIMIC-III, a freely accessible critical care database
Alistair EW Johnson, Tom J Pollard, Lu Shen, Li-wei H Lehman, Mengling Feng, Mohammad Ghassemi, Benjamin Moody, Peter Szolovits, Leo Anthony Celi, and Roger G Mark · 2016
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Multi-task prediction of disease onsets from longitudinal lab tests
Narges Razavian, Jake Marcus, and David Sontag · 2016
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Ensemble fuzzy models in personalized medicine: Application to vasopressors administration
Cátia M Salgado, Susana M Vieira, Luís F Mendonça, Stan Finkelstein, and João MC Sousa · 2016
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Understanding vasopressor intervention and weaning: Risk prediction in a public heterogeneous clinical time series database
Mike Wu, Marzyeh Ghassemi, Mengling Feng, Leo A Celi, Peter Szolovits, and Finale Doshi-Velez · 2016
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Predicting intervention onset in the icu with switching state space models
Marzyeh Ghassemi, Mike Wu, Michael Hughes, and Finale Doshi-Velez · 2017
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