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D. Precup, R. S. Sutton and S. P. Singh, Eligibility traces for off-policy policy evaluation, in Proceedings of the Seventeenth International Conference on Machine Learning
2000
Earlier work this paper cites.
D. Ernst, P. Geurts and L. Wehenkel, Tree-based batch mode reinforcement learning Journal of Machine Learning Research
2005
Earlier work this paper cites.
M. R. Clarkson, B. M. Brenner and C. Magee, Pocket Companion to Brenner and Rector’s The Kidney E-Book
2010
Earlier work this paper cites.
T. Badrick, Evidence-based laboratory medicine The Clinical Biochemist Reviews
2013
Earlier work this paper cites.
M. Zhi, E. L. Ding, J. Theisen-Toupal, J. Whelan and R. Arnaout, The landscape of inappropriate laboratory testing: a 15-year meta-analysis PloS one
2013
Earlier work this paper cites.
F. Cismondi, L. A. Celi, A. S. Fialho, S. M. Vieira, S. R. Reti, J. M. Sousa and S. N. Finkelstein, Reducing unnecessary lab testing in the icu with artificial intelligence International journal of medical informatics
2013
Earlier work this paper cites.
ICUMedical, Reducing the risk of iatrogenic anemia and catheter-related bloodstream infections using closed blood sampling (ICU Medical Inc., 2015)
2015
Earlier work this paper cites.
J. Lee and D. M. Maslove, Using information theory to identify redundancy in common laboratory tests in the intensive care unit BMC medical informatics and decision making
2015
Cited alongside, same era.
M. Ghassemi, M. A. F. Pimentel, T. Naumann, T. Brennan, D. A. Clifton, P. Szolovits and M. Feng, A multivariate timeseries modeling approach to severity of illness assessment and forecasting in ICU with sparse, heterogeneous clinical data, in Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence
2015
Cited alongside, same era.
T. Loftsgard and R. Kashyap, Clinicians role in reducing lab order frequency in icu settings J Perioper Crit Intensive Care Nurs
2016
Cited alongside, same era.
R. L. Konger, P. Ndekwe, G. Jones, R. P. Schmidt, M. Trey, E. J. Baty, D. Wilhite, I. A. Munshi, B. M. Sutter, M. Rao et al
2016
Cited alongside, same era.
A. E. Johnson, T. J. Pollard, L. Shen, L.-w. H. Lehman, M. Feng, M. Ghassemi, B. Moody, P. Szolovits, L. A. Celi and R. G. Mark, Mimic-iii, a freely accessible critical care database Scientific data
2016
Later among the works it cites.
M. Singer, C. S. Deutschman, C. W. Seymour, M. Shankar-Hari, D. Annane, M. Bauer, R. Bellomo, G. R. Bernard, J.-D. Chiche, C. M. Coopersmith et al
2016
Later among the works it cites.
J.-L. Vincent, G. S. Martin and M. M. Levy, qsofa does not replace sirs in the definition of sepsis Critical Care
2016
Later among the works it cites.
L.-F. Cheng, G. Darnell, C. Chivers, M. Draugelis, K. Li and B. Engelhardt, Sparse multi-output gaussian processes for medical time series prediction (2017)
2017
Later among the works it cites.
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Y. Luo, P. Szolovits, A. S. Dighe and J. M. Baron, Using machine learning to predict laboratory test results American Journal of Clinical Pathology
2016
Cited alongside, same era.
S. Nemati, M. M. Ghassemi and G. D. Clifford, Optimal medication dosing from suboptimal clinical examples: A deep reinforcement learning approach, in Engineering in Medicine and Biology Society (EMBC), 2016 IEEE 38th Annual International Conference of the
2016
Cited alongside, same era.
D. J. Lizotte and E. B. Laber, Multi-objective markov decision processes for data-driven decision support Journal of Machine Learning Research
2016
Cited alongside, same era.
2017
Later among the works it cites.
N. Prasad, L. Cheng, C. Chivers, M. Draugelis and B. Engelhardt, A reinforcement learning approach to weaning of mechanical ventilation in intensive care units, in Uncertainty in Artificial Intelligence 2017
2017
Later among the works it cites.