Results 21 to 30 of about 488,717 (225)

The Matthews correlation coefficient (MCC) should replace the ROC AUC as the standard metric for assessing binary classification

open access: yesBioData Mining, 2023
Binary classification is a common task for which machine learning and computational statistics are used, and the area under the receiver operating characteristic curve (ROC AUC) has become the common standard metric to evaluate binary classifications in ...
Davide Chicco, Giuseppe Jurman
doaj   +1 more source

What's under the ROC? An Introduction to Receiver Operating Characteristics Curves [PDF]

open access: yesThe Canadian Journal of Psychiatry, 2007
It is often necessary to dichotomize a continuous scale to separate respondents into normal and abnormal groups. However, because the distributions of the scores in these 2 groups most often overlap, any cut point that is chosen will result in 2 types of errors: false negatives (that is, abnormal cases judged to be normal) and false positives (that is,
Streiner, David L., Cairney, John
openaire   +5 more sources

On the Binormal Predictive Receiver Operating Characteristic Curve for the Joint Assessment of Positive and Negative Predictive Values

open access: yesEntropy, 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

Peripheral enthesitis assessed by whole-body MRI in axial spondyloarthritis: Distribution and diagnostic value

open access: yesFrontiers in Immunology, 2022
ObjectiveTo determine the distribution and diagnostic value of peripheral enthesitis detected by whole-body MRI (WBMRI) in axial spondyloarthritis (axSpA) diagnosis, and to determine the value of the peripheral enthesitis score in axSpA assessment ...
Zikang Guo   +8 more
doaj   +1 more source

Mutual Information as a Performance Measure for Binary Predictors Characterized by Both ROC Curve and PROC Curve Analysis

open access: yesEntropy, 2020
The predictive receiver operating characteristic (PROC) curve differs from the more well-known receiver operating characteristic (ROC) curve in that it provides a basis for the evaluation of binary diagnostic tests using metrics defined conditionally on ...
Gareth Hughes   +2 more
doaj   +1 more source

Diagnostic Utility of IGF2BP1 and Its Targets as Potential Biomarkers in ETV6-RUNX1 Positive B-Cell Acute Lymphoblastic Leukemia

open access: yesFrontiers in Oncology, 2021
Around 85% of childhood Acute Lymphoblastic Leukemia (ALL) are of B-cell origin and characterized by the presence of different translocations including BCR-ABL1, ETV6-RUNX1, E2A-PBX1, and MLL fusion proteins.
Gunjan Sharma   +9 more
doaj   +1 more source

Receiver-operating characteristic (ROC) curve for median apparent diffusion coefficient.

open access: yes, 2023
Receiver-operating characteristic (ROC) curve for median apparent diffusion coefficient.
Takahiro Sueoka (14992628)   +9 more
core   +1 more source

A simplified method to approximate a ROC curve with a Bézier curve to calculate likelihood ratios of quantitative test results

open access: yesMethodsX, 2020
In order to calculate likeli hood ratios (LR) values for quantitative test results, a distribution-independent algorithm based on Bézier curves is proposed.
Walter Fierz
doaj   +1 more source

The Diagnostic Value of Mitochondrial Mass of Peripheral T Lymphocytes in Early Sepsis

open access: yesFrontiers in Public Health, 2022
BackgroundStudies have shown that lymphocyte dysfunction can occur during the early stages of sepsis and that cell dysfunction is associated with mitochondrial dysfunction. Therefore, quantifying the mitochondrial function of lymphocytes in patients with
Ling-Xiao Pang   +6 more
doaj   +1 more source

Receiver operating characteristic (ROC) curves: equivalences, beta model, and minimum distance estimation

open access: yesMachine-mediated learning, 2021
Receiver operating characteristic (ROC) curves are used ubiquitously to evaluate scores, features, covariates or markers as potential predictors in binary problems.
T. Gneiting, Peter Vogel
semanticscholar   +1 more source

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