Results 21 to 30 of about 287,298 (306)
MethodsX, 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
Frontiers 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) Curve: Practical Review for Radiologists [PDF]
Korean Journal of Radiology, 2004 The receiver operating characteristic (ROC) curve, which is defined as a plot of test sensitivity as they coordinate versus its 1-specificity or false positive rate (FPR) as the x coordinate, is an effective method of evaluating the performance of diagnostic tests. The purpose of this article is to provide a nonmathematical introduction to ROC analysis.
Park, Seong Ho +2 more
openaire +2 more sources
VGG19 model receiver operating characteristic (ROC) curve.
, 2023 VGG19 model receiver operating characteristic (ROC) curve.
Theresa Henn (16806479) +1 more
core +1 more source
Receiver operating characteristic (ROC) curve for medical researchers
Indian Pediatrics, 2011 Sensitivity and specificity are two components that measure the inherent validity of a diagnostic test for dichotomous outcomes against a gold standard. Receiver operating characteristic (ROC) curve is the plot that depicts the trade-off between the sensitivity and (1-specificity) across a series of cut-off points when the diagnostic test is continuous
Rajeev, Kumar, Abhaya, Indrayan
openaire +2 more sources
Evaluation of four scoring systems in prognostication of acute pancreatitis for elderly patients
BMC Gastroenterology, 2020 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
Advances in Oral and Maxillofacial Surgery, 2021 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]
Global Spine Journal, 2018 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
Indian Journal of Anaesthesia, 2021 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
New Zealand Medical Student Journal, 2019 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