Results 161 to 170 of about 127,975,471 (298)
Combining multiple biomarkers linearly to maximize the partial area under the ROC curve. [PDF]
Stat Med, 2018 Yan Q, Bantis LE, Stanford JL, Feng Z.
europepmc +1 more source
Advanced Science, EarlyView.CA9‐targeted PET imaging could be a noninvasive approach to characterize clear cell renal cell carcinoma and associated tumor biology. PET uptake correlates with tumor CA9 expression and is linked to angiogenic activity, immune remodeling, and metabolic reprogramming.
Kailei Chen +19 more
wiley +1 more source
Combining biomarkers linearly and nonlinearly for classification using the area under the ROC curve. [PDF]
Stat Med, 2016 Fong Y, Yin S, Huang Y.
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Advanced Science, EarlyView.Maximizing Nanoscale Disorder in Block Copolymers for Orientation‐Independent SERS Platform toward Non‐Invasive Diagnostics is a nature‐inspired strategy that engineers controlled randomness within block copolymer lamellae to achieve optical isotropy without compromising nanoscale periodicity.
Jin Man Kim +6 more
wiley +1 more source
Inference for the difference in the area under the ROC curve derived from nested binary regression models. [PDF]
Biostatistics, 2017 Heller G +3 more
europepmc +1 more source
A Comment on the ROC Curve and the Area under it as Performance Measures
, 2004 The Receiver Operating Characteristic (ROC) curve is a two dimensional measure of classification performance. The area under the ROC curve (AUC) is a scalar measure gauging one facet of performance.
Caren Marzban
core
Advanced Science, EarlyView.Through AI‐assisted screening from FDA‐approved API to overcome the limitations of bacterial osteomyelitis treatment, glycyrrhizic acid and simvastatin are identified as a multifunctional combination capable of self‐assembling into mechanism‐targeting nanocrystals that effectively neutralize reactive oxygen species, suppress M1 macrophage polarization,
Yu Han +11 more
wiley +1 more source
Sample Size Calculation Guide - Part 4: How to Calculate the Sample Size for a Diagnostic Test Accuracy Study based on Sensitivity, Specificity, and the Area Under the ROC Curve. [PDF]
Adv J Emerg Med, 2019 Negida A, Fahim NK, Negida Y.
europepmc +1 more source
Advanced Science, EarlyView.We developed UCtracker, a urine DNA methylation–based deep learning model, for noninvasive diagnosis and postoperative surveillance of urothelial carcinoma. UCtracker demonstrates high diagnostic accuracy, robustness at ultralow sequencing depth, early recurrence detection, and dynamic risk‐stratified monitoring of molecular residual disease ...
Shengwei Xiong +19 more
wiley +1 more source
Optimizing area under the ROC curve using semi-supervised learning. [PDF]
Pattern Recognit, 2015 Wang S +5 more
europepmc +1 more source