Results 11 to 20 of about 4,372,005 (356)
Using the weighted area under the net benefit curve for decision curve analysis [PDF]
Risk prediction models have been proposed for various diseases and are being improved as new predictors are identified. A major challenge is to determine whether the newly discovered predictors improve risk prediction. Decision curve analysis has been proposed as an alternative to the area under the curve and net reclassification index to evaluate the ...
Sanjay Shete, Rajesh Talluri
semanticscholar +8 more sources
Ranking Instances by Maximizing the Area under ROC Curve [PDF]
In recent years, the problem of learning a real-valued function that induces a ranking over an instance space has gained importance in machine learning literature. Here, we propose a supervised algorithm that learns a ranking function, called ranking instances by maximizing the area under the ROC curve (RIMARC). Since the area under the ROC curve (AUC)
Guvenir, H. A., Kurtcephe, M.
openaire +7 more sources
A distributionally robust area under curve maximization model [PDF]
Area under ROC curve (AUC) is a widely used performance measure for classification models. We propose two new distributionally robust AUC maximization models (DR-AUC) that rely on the Kantorovich metric and approximate the AUC with the hinge loss function.
Wenbo Ma, Miguel A. Lejeune
openaire +4 more sources
Comparison of glucose time in range and area under curve in range in relation to risk of diabetic retinopathy in type 2 diabetes patients. [PDF]
We proposed a novel continuous glucose monitoring (CGM)‐based metric, area under the curve in range (AucIR), for integrating both the amplitude and duration of dysglycemia, and further compared AucIR with the emerging key CGM‐derived metric, time in ...
Wang Y+8 more
europepmc +2 more sources
Empirical Likelihood Inference for the Area under the ROC Curve [PDF]
Summary For a continuous‐scale diagnostic test, the most commonly used summary index of the receiver operating characteristic curve (ROC) is the area under the curve (AUC) that measures the accuracy of the diagnostic test. In this article, we propose an empirical likelihood (EL) approach for the inference on the AUC. First we define an EL ratio for the
Xiao-Hua Zhou, Gengsheng Qin
openaire +6 more sources
Mixed-meal tolerance test to assess residual beta-cell secretion: Beyond the area-under-curve of plasma C-peptide concentration. [PDF]
Residual beta‐cell secretion in type 1 diabetes is commonly assessed by area‐under‐curve of plasma C‐peptide concentration (AUCCpep) following mixed‐meal tolerance test (MMTT). We aimed to investigate alternative measures of beta‐cell responsiveness.
Ruan Y+5 more
europepmc +2 more sources
This review article provides a concise guide to interpreting receiver operating characteristic (ROC) curves and area under the curve (AUC) values in diagnostic accuracy studies.
Ş. K. Çorbacıoğlu, G. Aksel
semanticscholar +1 more source
Consensus guidelines recommend targeting a vancomycin area under the curve to minimum inhibitory concentration (AUC24:MIC) ratio of 400–600 to improve therapeutic success and reduce nephrotoxicity.
Katie B Olney+7 more
semanticscholar +1 more source
Background This systematic review and meta-analysis explored the relationship between vancomycin (VCM) monitoring strategies and VCM effectiveness and safety.
Moeko Tsutsuura+14 more
semanticscholar +1 more source
Isoniazid concentrations in hair and plasma area-under-the-curve exposure among children with tuberculosis. [PDF]
We measured hair and plasma concentrations of isoniazid among sixteen children with tuberculosis who underwent personal or video-assisted directly observed therapy and thus had 100% adherence.
Bacchetti, Peter+16 more
core +7 more sources