Results 11 to 20 of about 127,696,973 (248)
Estimation of AUC from 0 to Infinity in Serial Sacrifice Designs. [PDF]
Nonclinical in vivo animal studies have to be completed before starting clinical studies of the pharmacokinetic behavior of a drug in humans. The drug exposure in animal studies is often measured by the area under the concentration time curve (AUC).
Wolfsegger, Martin J., Jaki, Thomas
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Background This study set out to look at how naringenin affected the pharmacokinetics of ranolazine in rats. The pharmacokinetic investigation of ranolazine in rats following oral administration of ranolazine with or without coadministration of ...
Faisal Alotaibi
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Inference about time-dependent prognostic accuracy measures in the presence of competing risks
Background Evaluating a candidate marker or developing a model for predicting risk of future conditions is one of the major goals in medicine. However, model development and assessment for a time-to-event outcome may be complicated in the presence of ...
Rajib Dey +2 more
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Classification is the process of building a model that can distinguish between different classes of data. The model aims to predict the class of testing data based on patterns or relationships learned from training data.
MUHAMMAD SUBIANTO +4 more
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Area-under-the-curve (AUC) scores of learning methods on ChestX-ray14.
Area-under-the-curve (AUC) scores of learning methods on ChestX-ray14.
Le Trieu Phong (13184011)
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1570. Association Between Vancomycin Area Under the Curve (AUC) and Nephrotoxicity [PDF]
Abstract Background It is unclear whether increased vancomycin area under the curve (AUC) contributes to acute kidney injury (AKI) risk. Methods This retrospective cohort study was undertaken to determine whether vancomycin AUC > ...
Poston-Blahnik, Anna, Moenster, Ryan P
openaire +1 more source
Area-under-the-curve (AUC) scores of learning methods on MRI datasets.
Area-under-the-curve (AUC) scores of learning methods on MRI datasets.
Le Trieu Phong (13184011)
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Comparison of area-under-the-curve (AUC) scores.
Comparison of area-under-the-curve (AUC) scores.
Le Trieu Phong (13184011)
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Identifying disease-related microRNAs (miRNAs) is crucial to understanding the etiology and pathogenesis of many diseases. However, existing computational methods are facing a few dilemmas such as lacking “negative samples” (i.e.
Junlin Xu +8 more
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[Area under the curve)] The classification performance using AUC (area under the curve) and accuracy analysis for each group.
Kazım Kılıç (16985977) +5 more
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