Results 31 to 40 of about 472,455 (180)
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.
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Receiver operating characteristic (ROC) movies, universal ROC (UROC) curves, and coefficient of predictive ability (CPA) [PDF]
Machine-mediated learning, 2019 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
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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
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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
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Turkish Journal of Emergency Medicine, 2023 This review article provides a concise guide to interpreting receiver operating characteristic (ROC) curves and area under the curve (AUC) values in diagnostic accuracy studies.
Ş. K. Çorbacıoğlu, G. Aksel
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Combining total and differential somatic cell count to screen for mastitis [PDF]
Acta Fytotechnica et Zootechnica, 2020 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
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Familiarity, recollection, and receiver-operating characteristic (ROC) curves in recognition memory [PDF]
Memory & Cognition, 2019 The Atkinson-Shiffrin theory describes and explains some of the processes involved in storing and retrieving information in human memory. Here we examine predictions of related models for search and decision processes in recognizing information in long-term memory.
Juola, James F. +4 more
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A Modified AUC for Training Convolutional Neural Networks: Taking Confidence Into Account
Frontiers in Artificial Intelligence, 2021 Receiver operating characteristic (ROC) curve is an informative tool in binary classification and Area Under ROC Curve (AUC) is a popular metric for reporting performance of binary classifiers.
Khashayar Namdar +5 more
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Minimum‐Norm Estimation for Binormal Receiver Operating Characteristic (ROC) Curves [PDF]
Biometrical Journal, 2009 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
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Caspian Journal of Neurological Sciences, 2020 Background: Psychiatrists use different scales to evaluate post-stroke depression; however, some concerns have raised about their low specificity. Objectives: This study aimed to assess the validity and reliability of the Persian version of the Post ...
Somayeh Shokrgozar +5 more
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