Calibration curves for the six severity-of-illness scores (solid lines) for all 1257 patients

Copyright information:Taken from "Performance of six severity-of-illness scores in cancer patients requiring admission to the intensive care unit: a prospective observational study"Critical Care 2004;8(4):R194-R203.Published online 24 May 2004PMCID:PMC522839.Copyright © 2004 Soares et al.;...

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Hauptverfasser:	Soares, Márcio, Fontes, Flávia, Dantas, Joana, Gadelha, Daniela, Cariello, Paloma, Nardes, Flávia, Amorim, César, Toscano, Luisa, Rocco, José R
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creator	Soares, Márcio Fontes, Flávia Dantas, Joana Gadelha, Daniela Cariello, Paloma Nardes, Flávia Amorim, César Toscano, Luisa Rocco, José R
description	Copyright information:Taken from "Performance of six severity-of-illness scores in cancer patients requiring admission to the intensive care unit: a prospective observational study"Critical Care 2004;8(4):R194-R203.Published online 24 May 2004PMCID:PMC522839.Copyright © 2004 Soares et al.; licensee BioMed Central Ltd. This is an Open Access article: verbatim copying and redistribution of this article are permitted in all media for any purpose, provided this notice is preserved along with the article's original URL. The diagonal dotted line represents the line of ideal prediction. Columns represent the number of patients in each stratum (10% of probability). APACHE, Acute Physiology and Chronic Health Evaluation; CMM, Cancer Mortality Model; MPM, Mortality Probability Model; SAPS, Simplified Acute Physiology Score.
doi_str_mv	10.6084/m9.figshare.32499
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This is an Open Access article: verbatim copying and redistribution of this article are permitted in all media for any purpose, provided this notice is preserved along with the article's original URL. The diagonal dotted line represents the line of ideal prediction. Columns represent the number of patients in each stratum (10% of probability). 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identifier	DOI: 10.6084/m9.figshare.32499
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title	Calibration curves for the six severity-of-illness scores (solid lines) for all 1257 patients
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