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Sepsis is the leading cause of mortality in the ICU.
Agent based decision support system using reinforcement learning under emergency circumstances
Devinder Thapa, In-Sung Jung, and Gi-Nam Wang · 2005
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Research in clinical reasoning: past history and current trends
Geoffrey Norman · 2005
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Costs for hospital stays in the United States, 2011: Statistical brief# 168
Anne Pfuntner, Lauren M Wier, and Claudia Steiner · 2006
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The sequential organ failure assessment score for predicting outcome in patients with severe sepsis and evidence of hypoperfusion at the time of emergency department presentation
Alan E Jones, Stephen Trzeciak, and Jeffrey A Kline · 2009
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Albumin in sepsis
F Tamion · 2010
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Elevation of bun is predictive of long-term mortality in critically ill patients independent of’normal’creatinine
Kevin Beier, Sabitha Eppanapally, Heidi S Bazick, Domingo Chang, Karthik Mahadevappa, Fiona K Gibbons, and Kenneth B Christopher · 2011
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Cs294a lecture notes
Andrew Ng and Sparse Autoencoder · 2011
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Interaction between fluids and vasoactive agents on mortality in septic shock: a multicenter, observational study
Jason Waechter, Anand Kumar, Stephen E Lapinsky, John Marshall, Peter Dodek, Yaseen Arabi, Joseph E Parrillo, R Phillip Dellinger, Allan Garland, Cooperative Antimicrobial Therapy of Septic Shock Database Research Group, et al · 2014
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A reinforcement learning design for HIV clinical trials
Sonali Parbhoo · 2014
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The demise of early goal-directed therapy for severe sepsis and septic shock
PE Marik · 2015
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Fluid overload in patients with severe sepsis and septic shock treated with early-goal directed therapy is associated with increased acute need for fluid-related medical interventions and hospital death
Diana Kelm, Jared T. Perrin, Rodrigo Cartin-Ceba, Ognjen Gajic, Louis Schenck, and Cassie Kenned · 2015
Cited alongside, same era.
Dueling network architectures for deep reinforcement learning
Ziyu Wang, Tom Schaul, Matteo Hessel, Hado Van Hasselt, Marc Lanctot, and Nando De Freitas · 2015
Cited alongside, same era.
Tom Schaul, John Quan, Ioannis Antonoglou, and David Silver · 2015
Incidence and trends of sepsis in us hospitals using clinical vs claims data, 2009-2014
Chanu Rhee, Raymund Dantes, Lauren Epstein, David J Murphy, Christopher W Seymour, Theodore J Iwashyna, Sameer S Kadri, Derek C Angus, Robert L Danner, Anthony E Fiore, et al · 2017
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Continuous state-space models for optimal sepsis treatment - a deep reinforcement learning approach
Aniruddh Raghu, Matthieu Komorowski, Leo Anthony Celi, Peter Szolovits, and Marzyeh Ghassemi · 2017
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Malaria likelihood prediction by effectively surveying households using deep reinforcement learning
Pranav Rajpurkar, Vinaya Polamreddi, and Anusha Balakrishnan · 2017
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A reinforcement learning approach to weaning of mechanical ventilation in intensive care units
Niranjani Prasad, Li-Fang Cheng, Corey Chivers, Michael Draugelis, and Barbara E Engelhardt · 2017
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Cited alongside, same era.
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
Cited alongside, same era.
Data-efficient off-policy policy evaluation for reinforcement learning
Philip Thomas and Emma Brunskill · 2016
Cited alongside, same era.
Time to treatment and mortality during mandated emergency care for sepsis
Christopher W Seymour, Foster Gesten, Hallie C Prescott, Marcus E Friedrich, Theodore J Iwashyna, Gary S Phillips, Stanley Lemeshow, Tiffany Osborn, Kathleen M Terry, and Mitchell M Levy · 2017
Cited alongside, same era.
Combining kernel and model based learning for hiv therapy selection
Sonali Parbhoo, Jasmina Bogojeska, Maurizio Zazzi, Volker Roth, and Finale Doshi-Velez · 2017
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Transparent and interpretable machine learning in safety critical environments
Andrew Ross · 2017
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The intensive care ai clinician learns optimal treatment strategies for sepsis
M. Komorowski, L. A. Celi, O. Badawi, A. Faisal, and A. Gordon · 2018
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Evaluating reinforcement learning algorithms in observational health settings
Omer Gottesman, Fredrik D. Johansson, Joshua Meier, Jack Dent, Donghun Lee, Srivatsan Srinivasan, Linying Zhang, Yi Ding, David Wihl, Xuefeng Peng, Jiayu Yao, Isaac Lage, Christopher Mosch, Li-wei H. Lehman, Matthieu Komorowski, Aldo Faisal, Leo Anthony Celi, David Sontag, and Finale Doshi-Velez · 2018
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