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01-03-2014 | Editorial

Recalibrating our prediction models in the ICU: time to move from the abacus to the computer

Authors: Romain Pirracchio, Otavio T. Ranzani

Published in: Intensive Care Medicine | Issue 3/2014

Excerpt

Delirium is well recognized as a risk factor of adverse outcomes in critically ill patients. However, the best strategy for prevention and treatment is still debated. Early identification of the patients at high risk of developing a delirium could help to prevent the symptom. …

Van den Boogaard M, Pickkers P, Slooter AJC et al (2012) Development and validation of PRE-DELIRIC (PREdiction of DELIRium in ICU patients) delirium prediction model for intensive care patients: observational multicentre study. BMJ 344:e420PubMedCentralPubMedCrossRef

Van den Boogaard M, Schoonhoven L, Maseda E et al (2014) Recalibration of the delirium prediction model for ICU patients (PRE-DELIRIC): a multinational observational study. Intensive Care Med. doi:10.1007/s00134-013-3202-7 PubMed

Steyerberg EW, Harrell FE Jr, Borsboom GJJ et al (2001) Internal validation of predictive models: efficiency of some procedures for logistic regression analysis. J Clin Epidemiol 54:774–781. doi:10.1016/S0895-4356(01)00341-9 PubMedCrossRef

Dybowski R, Weller P, Chang R, Gant V (1996) Prediction of outcome in critically ill patients using artificial neural network synthesised by genetic algorithm. Lancet 347:1146–1150PubMedCrossRef

Clermont G, Angus DC, DiRusso SM et al (2001) Predicting hospital mortality for patients in the intensive care unit: a comparison of artificial neural networks with logistic regression models. Crit Care Med 29:291–296PubMedCrossRef

Ribas VJ, López JC, Ruiz-Sanmartin A et al (2011) Severe sepsis mortality prediction with relevance vector machines. Conf Proc IEEE Eng Med Biol Soc 2011:100–103. doi:10.1109/IEMBS.2011.6089906 PubMed

Kim S, Kim W, Park RW (2011) A comparison of intensive care unit mortality prediction models through the use of data mining techniques. Healthc Inform Res 17:232–243. doi:10.4258/hir.2011.17.4.232 PubMedCentralPubMedCrossRef

Foltran F, Berchialla P, Giunta F et al (2010) Using VLAD scores to have a look insight ICU performance: towards a modelling of the errors. J Eval Clin Pract 16:968–975. doi:10.1111/j.1365-2753.2009.01240.x PubMedCrossRef

Gortzis LG, Sakellaropoulos F, Ilias I et al (2008) Predicting ICU survival: a meta-level approach. BMC Health Serv Res 8:157. doi:10.1186/1472-6963-8-157 PubMedCentralPubMedCrossRef

10.

Dudoit S, Van Der Laan MJ (2003) Asymptotics of cross-validated risk estimation in estimator selection and performance assessment. Stat Methodol 2:131–154CrossRef

11.

Van der Laan MJ, Polley EC, Hubbard AE (2007) Super learner. Stat Appl Genet Mol Biol 6:Article 25. doi:10.2202/1544-6115.1309

12.

Steyerberg EW (2009) Clinical prediction models: a practical approach to development, validation, and updating. Springer, New YorkCrossRef

Title: Recalibrating our prediction models in the ICU: time to move from the abacus to the computer
Authors: Romain Pirracchio
Otavio T. Ranzani
Publication date: 01-03-2014
Publisher: Springer Berlin Heidelberg
Published in: Intensive Care Medicine / Issue 3/2014
Print ISSN: 0342-4642
Electronic ISSN: 1432-1238
DOI: https://doi.org/10.1007/s00134-014-3231-x

At a glance: The STEP trials

Springer Medicine

Recalibrating our prediction models in the ICU: time to move from the abacus to the computer

Excerpt

At a glance: The STEP trials

Springer Medicine

Excerpt

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