Extending the DeLong algorithm for comparing areas under correlated receiver operating characteristic curves with missing data
Sign Up to like & getrecommendations! Published in 2024 at "Statistics in Medicine"
DOI: 10.1002/sim.10172
Abstract: A nonparametric method proposed by DeLong et al in 1988 for comparing areas under correlated receiver operating characteristic curves is used widely in practice. However, the DeLong method as implemented in popular software quietly deletes… read more here.
Keywords: correlated receiver; comparing areas; areas correlated; operating characteristic ... See more keywords
A network approach to compute hypervolume under receiver operating characteristic manifold for multi‐class biomarkers
Sign Up to like & getrecommendations! Published in 2023 at "Statistics in Medicine"
DOI: 10.1002/sim.9646
Abstract: Computation of hypervolume under ROC manifold (HUM) is necessary to evaluate biomarkers for their capability to discriminate among multiple disease types or diagnostic groups. However the original definition of HUM involves multiple integration and thus… read more here.
Keywords: multi class; approach compute; operating characteristic; receiver operating ... See more keywords
Predicting fluid responsiveness in whom? A simulated example of patient spectrum influencing the receiver operating characteristics curve
Sign Up to like & getrecommendations! Published in 2017 at "Journal of Clinical Monitoring and Computing"
DOI: 10.1007/s10877-017-0019-x
Abstract: The influence of patient spectrum on the sensitivities and specificities of diagnostic methods has been termed spectrum bias or spectrum effect. Receiver operating characteristics curves are often used to assess the ability of diagnostic methods… read more here.
Keywords: patient spectrum; receiver operating; operating characteristics; fluid responsiveness ... See more keywords
The use of receiver operating characteristic curves and precision-versus-recall curves as performance metrics in unsupervised structural damage classification under changing environment
Sign Up to like & getrecommendations! Published in 2021 at "Engineering Structures"
DOI: 10.1016/j.engstruct.2021.113029
Abstract: Abstract The development of long-term structural health monitoring systems is recently receiving a growing scientific interest in the field of Civil Engineering. In the context of unsupervised learning processes, deviations of dynamic parameters from their… read more here.
Keywords: versus recall; recall curves; damage; precision versus ... See more keywords
Evaluating classification performance: Receiver operating characteristic and expected utility.
Sign Up to like & getrecommendations! Published in 2022 at "Psychological methods"
DOI: 10.1037/met0000515.supp
Abstract: One primary advantage of receiver operating characteristic (ROC) analysis is considered to be its ability to quantify classification performance independently of factors such as prior probabilities and utilities of classification outcomes. This article argues the… read more here.
Keywords: utility; expected utility; classification performance; receiver operating ... See more keywords
2D-ROC - receiver operating surface and its illustrative application in clinical diagnostics.
Sign Up to like & getrecommendations! Published in 2019 at "Physiological measurement"
DOI: 10.1088/1361-6579/ab2564
Abstract: When there are multiple tests, the Receiver Operating Curve (ROC) analysis does not answer the question of how the individual tests can be combined in medicine. In this study, 2D-ROC analysis is considered to calculate… read more here.
Keywords: individual tests; roc; application; receiver operating ... See more keywords
215 Assessment of the Diagnostic Sensitivity and Specificity of Pain Biomarkers in Cattle Using Receiver Operating Characteristic Curves
Sign Up to like & getrecommendations! Published in 2020 at "Journal of Animal Science"
DOI: 10.1093/jas/skaa054.012
Abstract: Biomarkers are commonly used to assess pain and analgesic drug efficacy in livestock. However, the diagnostic sensitivity and specificity of these biomarkers for different pain conditions over time have not been described. Receiver operating characteristic… read more here.
Keywords: analysis; pain biomarkers; receiver operating; diagnostic sensitivity ... See more keywords
Risk analysis, ideal observers, and receiver operating characteristic curves for tasks that combine detection and estimation
Sign Up to like & getrecommendations! Published in 2019 at "Journal of Medical Imaging"
DOI: 10.1117/1.jmi.6.1.015502
Abstract: Abstract. Previously published work on joint estimation/detection tasks has focused on the area under the estimation receiver operating characteristic (EROC) curve as a figure of merit (FOM) for these tasks in imaging. Another FOM for… read more here.
Keywords: curve; risk; receiver operating; estimation ... See more keywords
Neyman-Pearson classification algorithms and NP receiver operating characteristics
Sign Up to like & getrecommendations! Published in 2018 at "Science Advances"
DOI: 10.1126/sciadv.aao1659
Abstract: An umbrella algorithm and a graphical tool for asymmetric error control in binary classification. In many binary classification applications, such as disease diagnosis and spam detection, practitioners commonly face the need to limit type I… read more here.
Keywords: classification; error; type error; neyman pearson ... See more keywords
Detection and Characterization of Solid Pulmonary Nodules at Digital Chest Tomosynthesis: Data from a Cohort of the Pilot Swedish Cardiopulmonary Bioimage Study.
Sign Up to like & getrecommendations! Published in 2018 at "Radiology"
DOI: 10.1148/radiol.2018171481
Abstract: Purpose To investigate the performance of digital tomosynthesis (DTS) for detection and characterization of incidental solid lung nodules. Materials and Methods This prospective study was based on a population study with 1111 randomly selected participants… read more here.
Keywords: detection; pulmonary nodules; tomosynthesis; detection characterization ... See more keywords
Screening of Moyamoya Disease From Retinal Photographs: Development and Validation of Deep Learning Algorithms
Sign Up to like & getrecommendations! Published in 2024 at "Stroke"
DOI: 10.1161/strokeaha.123.044026
Abstract: BACKGROUND: Moyamoya disease (MMD) is a rare and complex pathological condition characterized by an abnormal collateral circulation network in the basal brain. The diagnosis of MMD and its progression is unpredictable and influenced by many… read more here.
Keywords: deep learning; disease; photographs; stage ... See more keywords