Results 1 to 10 of about 4,372,005 (356)

A relationship between the incremental values of area under the ROC curve and of area under the precision-recall curve [PDF]

open access: yesDiagnostic and Prognostic Research, 2021
Background Incremental value (IncV) evaluates the performance change between an existing risk model and a new model. Different IncV metrics do not always agree with each other. For example, compared with a prescribed-dose model, an ovarian-dose model for
Qian M. Zhou   +4 more
doaj   +5 more sources

Characteristics and calculations of paired vancomycin measurements for determination of 24-h area-under-curve (AUC) [PDF]

open access: yesPractical Laboratory Medicine, 2023
Background: Current pharmacy practice guidelines recommend 24-h area-under-curve (AUC24) targets for use of vancomycin against methicillin-resistant Staphylococcus aureus (MRSA).
Yutao Deng   +3 more
doaj   +2 more sources

Exact Probability Distribution for the ROC Area under Curve. [PDF]

open access: yesCancers (Basel), 2023
SummaryThe Receiver Operating Characteristic (ROC) is ade factostandard for determining the accuracy ofin vitrodiagnostic (IVD) medical devices, and thus exactness in its probability distribution is crucial toward accurate statistical inference. We show the exact probability distribution of the ROC AUC-value, hence exact critical values and p-values ...
Ekström J   +2 more
europepmc   +4 more sources

AREA UNDER THE CURVE AS A MEASURE OF DISCOUNTING [PDF]

open access: bronzeJournal of the Experimental Analysis of Behavior, 2001
We describe a novel approach to the measurement of discounting based on calculating the area under the empirical discounting function. This approach avoids some of the problems associated with measures based on estimates of the parameters of theoretical discounting functions.
Joel Myerson   +2 more
openalex   +4 more sources

The ROC Curve and the Area under It as Performance Measures

open access: bronzeWeather and Forecasting, 2004
Abstract 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. In this short article, five idealized models are utilized to relate the shape of the ROC curve, and the area under it, to features ...
Caren Marzban
openalex   +3 more sources

Determination of Riboflavin and Cyanocobalamine Spectrophotometricaly via Area Under Curve Method

open access: yesTikrit Journal of Pure Science, 2023
A simple, sensitive, accurate and economical spectrophotometric method for determination of Riboflavin (RIBO) and Cyanocobalamin (CCA) in pure and pharmaceutical forms was developed .The method based on the area under curve (AUC) in the region between ...
Mohammed Qasim Al-Samarrai   +1 more
doaj   +1 more source

Comparison of the mathematical equation and trapezoidal approach for 24 h area under the plasma concentration‐time curve calculation in patients who received intravenous vancomycin in an acute care setting

open access: yesPharmacology Research & Perspectives, 2023
The current recommendation for therapeutic monitoring of vancomycin has recently suggested AUC‐guided dosing in patients with serious methicillin‐resistant Staphylococcus aureus infections.
Pimonrat Chanapiwat   +3 more
doaj   +1 more source

Comparison of area under the curve in various models of diabetic rats receiving chronic medication

open access: yesArchives of Medical Science, 2020
Introduction The oral glucose tolerance test (OGTT) is widely used as a diagnostic tool for impaired glucose tolerance (IGT) in clinical settings and animal experiments.
Keng-Fan Liu   +5 more
doaj   +1 more source

Teknik Resampling untuk Mengatasi Ketidakseimbangan Kelas pada Klasifikasi Penyakit Diabetes Menggunakan C4.5, Random Forest, dan SVM

open access: yesTechno.Com, 2021
Penderita diabetes di seluruh dunia terus mengalami peningkatan dengan angka kematian sebesar 4,6 juta pada tahun 2011 dan diperkirakan akan terus meningkat secara global menjadi 552 juta pada tahun 2030.
Wahyu Nugraha, Raja Sabaruddin
doaj   +1 more source

Estimating the optimal linear combination of predictors using spherically constrained optimization

open access: yesBMC Bioinformatics, 2022
Background In the context of a binary classification problem, the optimal linear combination of continuous predictors can be estimated by maximizing the area under the receiver operating characteristic curve.
Priyam Das   +7 more
doaj   +1 more source

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