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The problem of Area Under the Curve

2012 IEEE International Conference on Information Science and Technology, 2012
Receiver Operating Characterics curves have recently received considerable attention as mechanisms for comparing different algorithms or experimental results. However the common approach of comparing Area Under the Curve has come in for some criticism with alternatives such as Area Under Kappa and H-measure being proposed as alternative measure ...
openaire   +2 more sources

Conversion from Vancomycin Trough Concentration–Guided Dosing to Area Under the Curve–Guided Dosing Using Two Sample Measurements in Adults: Implementation at an Academic Medical Center

Pharmacotherapy, 2019
The optimal pharmacodynamic parameter for the prediction of efficacy of vancomycin is the area under the concentration–time curve (AUC), and current published data indicate that dosing based on vancomycin trough concentrations is an inaccurate substitute.
Lina Meng   +8 more
semanticscholar   +1 more source

Optimization of the Area under the ROC Curve

2008 10th Brazilian Symposium on Neural Networks, 2008
In this paper, we propose a new binary classification algorithm (AUCtron), based on gradient descent learning, that directly optimizes AUC (area under the ROC curve). We compare it with a linear classifier and with AUCsplit proposed. The AUCtron algorithm implicitly considers class prior probabilities in the decision criteria.
Cristiano Leite de Castro   +1 more
openaire   +2 more sources

Review and Validation of Bayesian Dose‐Optimizing Software and Equations for Calculation of the Vancomycin Area Under the Curve in Critically Ill Patients

Pharmacotherapy, 2018
Vancomycin area under the concentration‐time curve (AUC) has been linked to efficacy and safety. An accurate method of calculating the AUC is needed.
R. Turner   +6 more
semanticscholar   +1 more source

WTE Revisited – ROC Curves and Area Under the Curve

AAP Grand Rounds, 2015
original published in[OpenUrl][1][FREE Full Text][2] Imagine yourself listening to Morse code over a crackling radio – it is hard to distinguish signal from noise. You have to look for the perfect volume, because when you hear the signal better, you also hear more noise, and when you cut down on the noise, you also lose some of the signal.
Virginia A. Moyer, Daniel R. Neuspiel
openaire   +2 more sources

The Use of Areas Under Curves in Diabetes Research

Diabetes Care, 1995
Recently, several articles appearing in the diabetes literature have suggested that many investigators are unclear about a number of issues involving the use of areas under the curve (AUCs). This prompted us to reconsider issues in the calculation, use, meaning, and presentation of AUCs. We discuss five issues: 1) What is a curve and an area?
F Paultre   +4 more
openaire   +3 more sources

Vancomycin Area Under the Curve Simplified

Therapeutic Drug Monitoring, 2018
Background: Serum trough concentrations as the sole means of monitoring safety and efficacy of vancomycin are insufficient. The daily area under the curve (AUC24) of serum concentration versus time to minimum inhibitory concentration (MIC) ratio of greater than 400 mg × h/L has emerged as a more robust dosing target.
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Evidence Based Emergency Medicine; Part 5 Receiver Operating Curve and Area under the Curve

Emergency, 2016
Multiple diagnostic tools are used by emergency physicians, every day. In addition, new tools are evaluated to obtain more accurate methods and reduce time or cost of conventional ones.
Saeed Safari   +3 more
semanticscholar   +1 more source

Approximation of Area under a Curve

The Mathematics Teacher, 1984
High school students occasionally find themselves needing to determine the area under a curve. This problem may arise when motion or work is studied in a science course; the curve is plotted from experimental data, and no equation of the curve is known. In a mathematics course, a function may be given and the area under it may be of interest.
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Bias and variance of extrapolated tails for area-under-the-curve (AUC) and area-under-the-moment-curve (AUMC)

Journal of Pharmacokinetics and Biopharmaceutics, 1992
The usual formulas for the extrapolated values of AUC and AUMC from tn to infinity produce estimates that are biased. An empirical correction factor is shown to reduce both bias and variance of estimates. The fitted value Cz at the last time-point tn should normally be used in the formulas, rather than the measured concentration Cn.
openaire   +3 more sources

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