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The management of invasive mechanical ventilation, and the regulation of sedation and analgesia during ventilation, constitutes a major part of the care of patients admitted to intensive care units.
Algorithms for inverse reinforcement learning
Andrew Y Ng, Stuart J Russell, et al · 2000
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The pulmonary physician in critical care: Difficult weaning
J Goldstone · 2002
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Kernel-based reinforcement learning
Dirk Ormoneit and Śaunak Sen · 2002
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Intelligent control of closed-loop sedation in simulated icu patients
Brett L Moore, Eric D Sinzinger, Todd M Quasny, and Larry D Pyeatt · 2004
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Tree-based batch mode reinforcement learning
Damien Ernst, Pierre Geurts, and Louis Wehenkel · 2005
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Neural fitted q iteration–first experiences with a data efficient neural reinforcement learning method
Martin Riedmiller · 2005
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Clinical data based optimal sti strategies for hiv: A reinforcement learning approach
Damien Ernst, Guy-Bart Stan, Jorge Goncalves, and Louis Wehenkel · 2006
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Gaussian Processes for Machine Learning
Carl Edward Rasmussen and Christopher K. I. Williams · 2006
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Extremely randomized trees
Pierre Geurts, Damien Ernst, and Louis Wehenkel · 2006
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Gaussian process robust regression for noisy heart rate data
Oliver Stegle, Sebastian V. Fallert, David J. C. MacKay, and Søren Brage · 2008
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The difficult-to-wean patient
Nicolino Ambrosino and Luciano Gabbrielli · 2010
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Feature construction for inverse reinforcement learning
Sergey Levine, Zoran Popovic, and Vladlen Koltun · 2010
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Reinforcement learning strategies for clinical trials in nonsmall cell lung cancer
Yufan Zhao, Donglin Zeng, Mark A. Socinski, and Michael R. Kosorok · 2011
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Sedation and analgesia in the mechanically ventilated patient
Shruti B Patel and John P Kress · 2012
Cited alongside, same era.
Sedation in the intensive care setting
Christopher G Hughes, Stuart McGrane, and Pratik P Pandharipande · 2012
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What is the optimal rate of failed extubation?
James S Krinsley, Praveen K Reddy, and Abid Iqbal · 2012
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Blood gases, weaning, and extubation
Guy W Soo Hoo · 2012
Closed-loop control of anesthesia and mean arterial pressure using reinforcement learning
R. Padmanabhan, N. Meskin, and W. M. Haddad · 2014
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Adam: A method for stochastic optimization
Diederik Kingma and Jimmy Ba · 2014
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Improvement in the prediction of ventilator weaning outcomes by an artificial neural network in a medical icu
Hung-Ju Kuo, Hung-Wen Chiu, Chun-Nin Lee, Tzu-Tao Chen, Chih-Cheng Chang, and Mauo-Ying Bien · 2015
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Multitask Gaussian processes for multivariate physiological time-series analysis
Robert Dürichen, Marco A. F. Pimentel, Lei Clifton, Achim Schweikard, and David A. Clifton · 2015
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A multivariate timeseries modeling approach to severity of illness assessment and forecasting in ICU with sparse, heterogeneous clinical data
Marzyeh Ghassemi, Marco A. F. Pimentel, Tristan Naumann, Thomas Brennan, David A. Clifton, Peter Szolovits, and Mengling Feng · 2015
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Icu occupancy and mechanical ventilator use in the united states
Hannah Wunsch, Jason Wagner, Maximilian Herlim, David Chong, Andrew Kramer, and Scott D Halpern · 2013
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Can machine learning methods predict extubation outcome in premature infants as well as clinicians?
Martina Mueller, Jonas S Almeida, Romesh Stanislaus, and Carol L Wagner · 2013
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Sedation and weaning from mechanical ventilation: Time for ‘best practice’ to catch up with new realities?
Giorgio Conti, Jean Mantz, Dan Longrois, and Peter Tonner · 2014
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Optimization of anemia treatment in hemodialysis patients via reinforcement learning
Pablo Escandell-Montero, Milena Chermisi, José M. Martínez-Martínez, Juan Gómez-Sanchis, Carlo Barbieri, Emilio Soria-Olivas, Flavio Mari, Joan Vila-Francés, Andrea Stopper, Emanuele Gatti, and José D. Martín-Guerrero · 2014
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Relating oxygen partial pressure, saturation and content: the haemoglobin–oxygen dissociation curve
Julie-Ann Collins, Aram Rudenski, John Gibson, Luke Howard, and Ronan O’Driscoll · 2015
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Optimal medication dosing from suboptimal clinical examples: A deep reinforcement learning approach
S. Nemati, M. M. Ghassemi, and G. D. Clifford · 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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Incorporating association rule networks in feature category-weighted naive bayes model to support weaning decision making
Yuanyuan Gao, Anqi Xu, Paul Jen-Hwa Hu, and Tsang-Hsiang Cheng · 2017
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Sparse Multi-Output Gaussian Processes for Medical Time Series Prediction
Li-Fang Cheng, Gregory Darnell, Corey Chivers, Michael Draugelis, Kai Li, and Barbara Engelhardt · 2017
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