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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
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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
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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
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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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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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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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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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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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EntropyPerformance metrics are measures of success or performance that can be used to evaluate how well a model makes accurate predictions or classifications.
Aylin Gocoglu +2 more
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