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Receiver Operating Characteristic (ROC) Curve Analysis for Medical Diagnostic Test Evaluation

TLDR
This review provides the basic principle and rational for ROC analysis of rating and continuous diagnostic test results versus a gold standard and the methods of estimate and testing of AUC and its testing in single diagnostic test and also comparative studies.
Abstract
This review provides the basic principle and rational for ROC analysis of rating and continuous diagnostic test results versus a gold standard. Derived indexes of accuracy, in particular area under the curve (AUC) has a meaningful interpretation for disease classification from healthy subjects. The methods of estimate of AUC and its testing in single diagnostic test and also comparative studies, the advantage of ROC curve to determine the optimal cut off values and the issues of bias and confounding have been discussed.

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Elevated Calprotectin and Abnormal Myeloid Cell Subsets Discriminate Severe from Mild COVID-19.

TL;DR: It is shown that calprotectin plasma level and a routine flow cytometry assay detecting decreased frequencies of non-classical monocytes could discriminate patients who develop a severe COVID-19 form, suggesting a predictive value that deserves prospective evaluation.
Journal ArticleDOI

Comparison of deep learning approaches to predict COVID-19 infection

TL;DR: Clinical predictive models trained on laboratory findings could be used to predict COVID-19 infection, and can be helpful for medical experts to prioritize the resources correctly.
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Angiopoietin-2 as a marker of endothelial activation is a good predictor factor for intensive care unit admission of COVID-19 patients.

TL;DR: Angiopoietin-2 is a relevant predictive factor for ICU direct admission in COVID-19 patients with criteria of hospitalization for referral to intensive care unit (ICU) and/or respiratory worsening, and this result showing an endothelial activation reinforces the hypothesis of a CO VID-19-associated microvascular dysfunction.
Journal ArticleDOI

Prospects for point-of-care pathogen diagnostics using surface-enhanced Raman scattering (SERS)

TL;DR: The potential impact of SERS in addressing unmet needs in pathogen diagnostics both in a traditional clinical setting and in the point of care (POC) arena is examined.
References
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Journal ArticleDOI

The meaning and use of the area under a receiver operating characteristic (ROC) curve.

James A. Hanley, +1 more
- 01 Apr 1982 - 
TL;DR: A representation and interpretation of the area under a receiver operating characteristic (ROC) curve obtained by the "rating" method, or by mathematical predictions based on patient characteristics, is presented and it is shown that in such a setting the area represents the probability that a randomly chosen diseased subject is (correctly) rated or ranked with greater suspicion than a random chosen non-diseased subject.
Journal ArticleDOI

Comparing the areas under two or more correlated receiver operating characteristic curves: a nonparametric approach.

TL;DR: A nonparametric approach to the analysis of areas under correlated ROC curves is presented, by using the theory on generalized U-statistics to generate an estimated covariance matrix.
Book

Signal detection theory and psychophysics

TL;DR: This book discusses statistical decision theory and sensory processes in signal detection theory and psychophysics and describes how these processes affect decision-making.
Journal ArticleDOI

Measuring the accuracy of diagnostic systems

John A. Swets
- 03 Jun 1988 - 
TL;DR: For diagnostic systems used to distinguish between two classes of events, analysis in terms of the "relative operating characteristic" of signal detection theory provides a precise and valid measure of diagnostic accuracy.
Journal ArticleDOI

A method of comparing the areas under receiver operating characteristic curves derived from the same cases.

James A. Hanley, +1 more
- 01 Sep 1983 - 
TL;DR: This paper refines the statistical comparison of the areas under two ROC curves derived from the same set of patients by taking into account the correlation between the areas that is induced by the paired nature of the data.