Variation in outcomes in Veterans Affairs intensive care units with a computerized severity measure.
about
A predictive model for the early identification of patients at risk for a prolonged intensive care unit length of stay.A review of statistical estimators for risk-adjusted length of stay: analysis of the Australian and new Zealand Intensive Care Adult Patient Data-Base, 2008-2009.The value of monitoring outcomes should be measured by the appropriateness of the response.Mortality probability model III and simplified acute physiology score II: assessing their value in predicting length of stay and comparison to APACHE IVImplications of Heterogeneity of Treatment Effect for Reporting and Analysis of Randomized Trials in Critical CareCardiac Troponin Measurement in the Critically Ill: Potential for Guiding Clinical ManagementDegree of Acute Kidney Injury before Dialysis Initiation and Hospital Mortality in Critically Ill Patients.Predicting outcomes for cardiac surgery patients after intensive care unit admission.Determining population based mortality risk in the Department of Veterans Affairs.Individual and health system variation in rehospitalizations the year after pneumonia.The Impact of Reducing Antibiotics on the Transmission of Multidrug-Resistant Organisms.Predictive mortality models are not like fine wine.Use of the All Patient Refined-Diagnosis Related Group (APR-DRG) Risk of Mortality Score as a Severity Adjustor in the Medical ICU.Comparison of four methods for deriving hospital standardised mortality ratios from a single hierarchical logistic regression model.Mortality in an ICU of a tertiary hospital.Accurate and interpretable intensive care risk adjustment for fused clinical data with generalized additive models.
P2860
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P2860
Variation in outcomes in Veterans Affairs intensive care units with a computerized severity measure.
description
2005 nî lūn-bûn
@nan
2005年の論文
@ja
2005年学术文章
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2005年学术文章
@zh
2005年学术文章
@zh-cn
2005年学术文章
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2005年学术文章
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2005年學術文章
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name
Variation in outcomes in Veter ...... computerized severity measure.
@en
Variation in outcomes in Veter ...... computerized severity measure.
@nl
type
label
Variation in outcomes in Veter ...... computerized severity measure.
@en
Variation in outcomes in Veter ...... computerized severity measure.
@nl
prefLabel
Variation in outcomes in Veter ...... computerized severity measure.
@en
Variation in outcomes in Veter ...... computerized severity measure.
@nl
P2093
P1476
Variation in outcomes in Veter ...... computerized severity measure.
@en
P2093
Alfred F Connors
Deborah E Welsh
Douglas Wagner
H Myra Kim
Joseph Johnston
Karen Bickel
Marta L Render
Ron Freyberg
Siva Sivaganesin
Timothy P Hofer
P304
P356
10.1097/01.CCM.0000162497.86229.E9
P407
P577
2005-05-01T00:00:00Z