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A large volume of research has considered the creation of predictive models for clinical data; however, much existing literature reports results using only a single source of data.
APACHE-acute physiology and chronic health evaluation: A physiologically based classification system
W A Knaus, J E Zimmerman, D P Wagner, E A Draper, and D E Lawrence · 1981
Earlier work this paper cites.
Use of a severity index in 8 multidisciplinary resuscitation centers
J R Le Gall, P Loirat, F Nicolas, C Granthil, F Wattel, R Thomas, P Glaser, P Mercier, J Latournerie, P Candau, et al · 1983
Earlier work this paper cites.
The APACHE III prognostic system: Risk prediction of hospital mortality for critically ill hospitalized adults
W A Knaus, D P Wagner, E A Draper, J E Zimmerman, M Bergner, C A Bastos, P G snd Sirio, D J Murphy, T Lotring, A Damiano, and F E Harrell Jr · 1991
Earlier work this paper cites.
A new Simplified Acute Physiology Score (SAPS-II) based on a European/North American multicenter study
J R Le Gall, S Lemeshow, and F Saulnier · 1993
Earlier work this paper cites.
The logistic organ dysfunction system: a new way to assess organ dysfunction in the intensive care unit
Jean Roger Le Gall, Janelle Klar, Stanley Lemeshow, Fabienne Saulnier, Corinne Alberti, Antonio Artigas, and Daniel Teres · 1996
Earlier work this paper cites.
The SOFA (Sepsis-related Organ Failure Assessment) score to describe organ dysfunction/failure
J-L Vincent, R Moreno, J Takala, S Willats, A De Mendoca, H Bruining, C K Reinhart, P M Suter, and L G Thijs · 1996
Earlier work this paper cites.
The association of registered nurse staffing levels and patient outcomes: Systematic review and meta-analysis
R L Kane, T A Shamliyan, C Mueller, S Duval, and T J Wilt · 2007
Earlier work this paper cites.
Severity scoring in the icu: A review
K Strand and H Flaatten · 2008
Earlier work this paper cites.
Outcome prediction in critical care: the Acute Physiology and Chronic Health Evaluation models
J E Zimmerman and A A Kramer · 2008
Earlier work this paper cites.
Icu acuity: Real-time models versus daily models
Caleb W Hug and Peter Szolovits · 2009
Earlier work this paper cites.
Severity of illness scoring systems in the intensive care unit
Mark T Keegan, Ognjen Gajic, and Bekele Afessa · 2011
Cited alongside, same era.
Scikit-learn: Machine learning in python
Fabian Pedregosa, Gaël Varoquaux, Alexandre Gramfort, Vincent Michel, Bertrand Thirion, Olivier Grisel, Mathieu Blondel, Peter Prettenhofer, Ron Weiss, Vincent Dubourg, et al · 2011
Cited alongside, same era.
Physionet 2012 challenge: Predicting mortality of icu patients using a cascaded svm-glm paradigm
Luca Citi and Riccardo Barbieri · 2012
Cited alongside, same era.
Patient specific predictions in the intensive care unit using a bayesian ensemble
Alistair E W Johnson, Nic Dunkley, Louis Mayaud, Athanasios Tsanas, Andrew A Kramer, and Gari D Clifford · 2012
Cited alongside, same era.
Risk stratification of icu patients using topic models inferred from unstructured progress notes
Li-Wei H Lehman, Mohammed Saeed, William J Long, Joon Lee, and Roger G Mark · 2012
Cited alongside, same era.
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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A study in transfer learning: Leveraging data from multiple hospitals to enhance hospital-specific predictions
Jenna Wiens, John Guttag, and Eric Horvitz · 2014
Later among the works it cites.
Dynamically modeling patient’s health state from electronic medical records: A time series approach
Karla L Caballero Barajas and Ram Akella · 2015
Later among the works it cites.
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
Later among the works it cites.
Instance weighting for patient-specific risk stratification models
Jen J Gong, Thoralf M Sundt, James D Rawn, and John V Guttag · 2015
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Linear bayes classification for mortality prediction
Martin Macaš, Jakub Kuzilek, Tadeáš Odstrčilík, and Michal Huptych · 2012
Cited alongside, same era.
Icu mortality prediction using time series motifs
Sean McMillan, Chih-Chun Chia, Alexander Van Esbroeck, Ilan Rubinfeld, and Zeeshan Syed · 2012
Cited alongside, same era.
Predicting in-hospital mortality of icu patients: The physionet/computing in cardiology challenge 2012
Ikaro Silva, George Moody, Daniel J Scott, Leo A Celi, and Roger G Mark · 2012
Cited alongside, same era.
Prediction of mortality in an intensive care unit using logistic regression and a hidden markov model
Srinivasan Vairavan, Larry Eshelman, Syed Haider, Abigail Flower, and Adam Seiver · 2012
Cited alongside, same era.
A new severity of illness scale using a subset of acute physiology and chronic health evaluation data elements shows comparable predictive accuracy
A. E. W. Johnson, Andrew A Kramer, and Gari D Clifford · 2013
Cited alongside, same era.
Later among the works it cites.
Predicting icu mortality risk by grouping temporal trends from a multivariate panel of physiologic measurements
Yuan Luo, Yu Xin, Rohit Joshi, Leo Celi, and Peter Szolovits · 2016
Later among the works it cites.
Reproducibility in critical care: a mortality prediction case study
Alistair E. W. Johnson, Tom J. Pollard, and Roger G. Mark · 2017
Later among the works it cites.
eicu collaborative research database, 2017
Alistair EW Johnson, Tom J Pollard, and Roger G Mark · 2017
Later among the works it cites.
alistairewj/icu-model-transfer: ICU Model Transfer v1.0, December 2018
Alistair Johnson · 2018
Closest in time.
tableone: An open source python package for producing summary statistics for research papers
Tom J Pollard, Alistair EW Johnson, Jesse D Raffa, and Roger G Mark · 2018
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