Results 61 to 70 of about 302,402 (283)
Adjusting the generalized ROC curve for covariates [PDF]
Statistics in Medicine, 2004 AbstractReceiver operating characteristic (ROC) curves and in particular the area under the curve (AUC), are widely used to examine the effectiveness of diagnostic markers. Diagnostic markers and their corresponding ROC curves can be strongly influenced by covariate variables.
David Faraggi +2 more
openaire +3 more sources
Advanced Engineering Materials, EarlyView.In this study, the mechanical response of Y‐shaped core sandwich beams under compressive loading is investigated, using deep feed‐forward neural networks (DFNNs) for predictive modeling. The DFNN model accurately captures stress–strain behavior, influenced by design parameters and loading rates.
Ali Khalvandi +4 more
wiley +1 more source
Cumulative/dynamic ROC curve estimation [PDF]
Journal of Statistical Computation and Simulation, 2016 This paper was financial supported from Grants MTM2014-55966-P and MTM2015-63971-P of the Spanish Ministerio de Economia y Competitividad and by Grant FC-15-GRUPIN14-101 from the Principado de Asturias.
Martínez Camblor, Pablo +2 more
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Advanced Functional Materials, EarlyView.Herein, a comprehensive framework that enabled the optimization of colloidal solubility within a high‐dimensional parameter space and study of reversible assembly processes is developed. This data‐driven workflow integrated innovations including the robotic platform for automated AuNPs functionalization, machine learning for predicting and revealing ...
Yueyang Gao +5 more
wiley +1 more source
Empirical and Kernel Estimation of the ROC Curve
Acta Universitatis Lodziensis. Folia Oeconomica, 2015 The paper presents chosen methods for estimating the ROC (Receiver Operating Characteristic) curve, including parametric and nonparametric procedures.
Aleksandra Katarzyna Baszczyńska
doaj
Entropy, 2020 The predictive receiver operating characteristic (PROC) curve is a diagrammatic format with application in the statistical evaluation of probabilistic disease forecasts.
Gareth Hughes
doaj +1 more source
Semiparametric Inference for ROC Curves with Censoring [PDF]
Scandinavian Journal of Statistics, 2008 Abstract. Comparison of two samples can sometimes be conducted on the basis of analysis of receiver operating characteristic (ROC) curves. A variety of methods of point estimation and confidence intervals for ROC curves have been proposed and well studied.
Hua Liang, Yong Zhou
openaire +3 more sources
Deterministic Writing of Field‐Free and Unipolar Spin‐Transfer Torque Magnetic Random‐Access Memory
Advanced Functional Materials, EarlyView.Deterministic unipolar‐switching STT‐MRAM with field‐free operation is experimentally demonstrated. The device features a compact 4F2 cell architecture using a diode as the access device and a single magnetic tunneling junction. Unlike conventional bipolar switching STT‐MRAM requiring a three‐terminal access transistor in the array, this design offers ...
Ming‐Chun Hong +22 more
wiley +1 more source
Covariate Adjusted ROC Curve Analysis and An Application
Sakarya Tıp Dergisi, 2015 Objective: Aim of this study is to analyze the change of the area under the adjusted ROC (AdjROC) curve in certain conditions via binormal distribution model using simulation studies and application of this algorithm to real data.
Cengiz Bal +5 more
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Advanced Healthcare Materials, EarlyView.AIMSPec‐LoC is a novel lab‐on‐a‐chip platform integrating size‐based extracellular vesicle (EVs) separation with label‐free Raman spectroscopy and AI‐powered classification via SKiNET. This high‐throughput, portable system enables real‐time, multiplexed molecular fingerprinting of EVs from biofluids, offering transformative potential for early, non ...
Emma Buchan +3 more
wiley +1 more source