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The problem of Area Under the Curve
2012 IEEE International Conference on Information Science and Technology, 2012Receiver 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 ...
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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
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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
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Optimization of the Area under the ROC Curve
2008 10th Brazilian Symposium on Neural Networks, 2008In 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
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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
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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
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WTE Revisited – ROC Curves and Area Under the Curve
AAP Grand Rounds, 2015original 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
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The Use of Areas Under Curves in Diabetes Research
Diabetes Care, 1995Recently, 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
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Vancomycin Area Under the Curve Simplified
Therapeutic Drug Monitoring, 2018Background: 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, 2016Multiple 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
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Approximation of Area under a Curve
The Mathematics Teacher, 1984High 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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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.
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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