Results 11 to 20 of about 472,455 (180)

Modernising Receiver Operating Characteristic (ROC) Curves

open access: yesAlgorithms, 2023
The justification for making a measurement can be sought in asking what decisions are based on measurement, such as in assessing the compliance of a quality characteristic of an entity in relation to a specification limit, SL. The relative performance of testing devices and classification algorithms used in assessing compliance is often evaluated using
Leslie R. Pendrill   +3 more
openaire   +2 more sources

Characterizing the diagnostic sensitivity and specificity of pain biomarkers in cattle using receiver operating characteristic curves

open access: yesJournal of Dairy Science, 2022
: Biomarkers are used to assess pain and analgesic drug efficacy in livestock. However, often the diagnostic sensitivity and specificity of these biomarkers for different painful conditions over time have not been described.
M. Martin   +7 more
doaj   +1 more source

Predicting metabolic syndrome by obesity- and lipid-related indices in mid-aged and elderly Chinese: a population-based cross-sectional study

open access: yesFrontiers in Endocrinology, 2023
ObjectiveTo predict the optimal cut-off values for screening and predicting metabolic syndrome(MetS) in a middle-aged and elderly Chinese population using 13 obesity and lipid-related indicators, and to identify the most suitable predictors.MethodsThe ...
Yuqing Li   +16 more
doaj   +1 more source

Metabolomics study of treatment response to conbercept of patients with neovascular age-related macular degeneration and polypoidal choroidal vasculopathy

open access: yesFrontiers in Pharmacology, 2022
Graphical AbstractAMD, age-related macular degeneration; PCV, polypoidal choroidal vasculopathy; PLS-DA, partial least squares discriminant analysis; LPC, lysophosphatidylcholine; PC, phosphocholine; ROC, operating characteristic curve; AUC, area under ...
Yinchen Shen   +44 more
doaj   +1 more source

Ability of TyG Index as a Marker of Insulin Resistance in Argentinean School Children

open access: yesFrontiers in Pediatrics, 2022
ObjectiveTo determine if the triglycerides and glucose index (TyG) can be used as a marker for insulin resistance (IR) in Argentinean schoolchildren according to age and sex.MethodsAnthropometric data, blood glucose levels, lipid profiles, and insulin ...
Valeria Hirschler   +8 more
doaj   +1 more source

Comparative Investigation the Hazard Model and the Accounting Model Using Receive Operating Characteristic (ROC) Curve for Bankruptcy Predication [PDF]

open access: yesJournal of Asset Management and Financing, 2018
Bankruptcy prediction in economic corporations is one of the financial branches that has become more prominent in the last two decades, so that the bankruptcy models have been developed and included variables of the macroeconomic environment and market ...
Nazanin Salehi, Hadi Amiri
doaj   +1 more source

Groundwater Potential Zone Mapping Using Analytical Hierarchy Process and GIS in Muga Watershed, Abay Basin, Ethiopia

open access: yesGlobal Challenges, 2022
Groundwater is an important resource that contributes significantly to the total annual water supply. The purpose of the present study is to assess and delineate the groundwater recharge zone using geospatial technology through an analytical hierarchal ...
Tadele Melese, Tatek Belay
doaj   +1 more source

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

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