Results 31 to 40 of about 488,717 (225)
VGG19 model receiver operating characteristic (ROC) curve.
VGG19 model receiver operating characteristic (ROC) curve.
Theresa Henn (16806479) +1 more
core +1 more source
Evaluation of four scoring systems in prognostication of acute pancreatitis for elderly patients
Background To evaluate the ability of four scoring systems (Ranson, BISAP, Glasgow, and APACHE II) to predict outcomes of acute pancreatitis (AP) in elderly patients.
Yajie Li, Jun Zhang, Jihong Zou
doaj +1 more source
We evaluated whether texture analysis of positron emission tomography (PET) scans could predict the response to induction chemotherapy (ICT) in patients with oral squamous cell carcinoma (OSCC).
M. Kimura +4 more
doaj +1 more source
ROC Solid: Receiver Operator Characteristic (ROC) Curves as a Foundation for Better Diagnostic Tests [PDF]
An ROC curve describes the relationship between the sensitivity and specificity of a test by plotting the two against one another while varying the CV. It is helpful when the outcome of a diagnostic test is continuous or ordinal. The key to an effective diagnostic test is to accurately classify 2 distinct populations into their respective groups ...
Junge, Mark R. J., Dettori, Joseph R.
openaire +2 more sources
Receiver operating characteristic curve: overview and practical use for clinicians
Using diagnostic testing to determine the presence or absence of a disease is essential in clinical practice. In many cases, test results are obtained as continuous values and require a process of conversion and interpretation and into a dichotomous form
F. Nahm
semanticscholar +1 more source
Background and Aims: Inferior vena cava (IVC) diameter and its respiratory variability have been shown to predict post-induction hypotension with high specificity in a mixed population of patients.
Sadik Mohammed +5 more
doaj +1 more source
Understanding receiver operator characteristic (ROC) curves
Receiver operating characteristic (ROC) curves summarise graphically the trade-off between sensitivity and specificity for diagnostic tests.1 We will describe how to interpret these graphs, but first we need to understand how we assess diagnostic test accuracy and why we are interested in these concepts of sensitivity and specificity.
Robin M Turner +2 more
openaire +2 more sources
Combining total and differential somatic cell count to screen for mastitis [PDF]
Somatic cell count (SCC) has been extensively used as indicator of udder health and milk quality. Recent developments in milk-testing technology have led to cell differentiation in milk in a high throughput manner.
Tania Bobbo
doaj +1 more source
Minimum‐Norm Estimation for Binormal Receiver Operating Characteristic (ROC) Curves [PDF]
AbstractThe receiver operating characteristic (ROC) curve is often used to assess the usefulness of a diagnostic test. We present a new method to estimate the parameters of a popular semi‐parametric ROC model, called the binormal model. Our method is based on minimization of the functional distance between two estimators of an unknown transformation ...
Ori, Davidov, Yuval, Nov
openaire +2 more sources
Receiver operating characteristic (ROC) movies, universal ROC (UROC) curves, and coefficient of predictive ability (CPA) [PDF]
Throughout science and technology, receiver operating characteristic (ROC) curves and associated area under the curve (AUC\documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage ...
T. Gneiting, Eva-Maria Walz
semanticscholar +1 more source

