Why the C-statistic is not informative to evaluate early warning scores and what metrics to use.
about
Development and validation of an electronic medical record-based alert score for detection of inpatient deterioration outside the ICU.Modified Early Warning Score (MEWS) Identifies Critical Illness among Ward Patients in a Resource Restricted Setting in Kampala, Uganda: A Prospective Observational Study.A critical assessment of early warning score records in 168,000 patients.Predicting Unplanned Transfers to the Intensive Care Unit: A Machine Learning Approach Leveraging Diverse Clinical Elements.Modifications of the National Early Warning Score for patients with chronic respiratory disease.Evaluation of the feasibility and performance of early warning scores to identify patients at risk of adverse outcomes in a low-middle income country setting.Manual centile-based early warning scores derived from statistical distributions of observational vital-sign dataAdvancing In-Hospital Clinical Deterioration Prediction Models
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P2860
Why the C-statistic is not informative to evaluate early warning scores and what metrics to use.
description
2015 nî lūn-bûn
@nan
2015年の論文
@ja
2015年論文
@yue
2015年論文
@zh-hant
2015年論文
@zh-hk
2015年論文
@zh-mo
2015年論文
@zh-tw
2015年论文
@wuu
2015年论文
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2015年论文
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name
Why the C-statistic is not inf ...... cores and what metrics to use.
@ast
Why the C-statistic is not inf ...... cores and what metrics to use.
@en
type
label
Why the C-statistic is not inf ...... cores and what metrics to use.
@ast
Why the C-statistic is not inf ...... cores and what metrics to use.
@en
prefLabel
Why the C-statistic is not inf ...... cores and what metrics to use.
@ast
Why the C-statistic is not inf ...... cores and what metrics to use.
@en
P2860
P1433
P1476
Why the C-statistic is not inf ...... scores and what metrics to use
@en
P2093
Gabriel J Escobar
Mark Liebow
P2860
P2888
P356
10.1186/S13054-015-0999-1
P577
2015-08-13T00:00:00Z
P5875
P6179
1035342506