Results 31 to 40 of about 3,628,827 (305)
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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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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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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Classifying Weak, and Strong Components using ROC Analysis with Application to Burn-in [PDF]
, 2007 Any population of components produced might be composed of two sub-populations: weak components are less reliable, and deteriorate faster whereas strong components are more reliable, and deteriorate slower.
Xie, Min +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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A Linear Regression Framework for the Receiver Operating Characteristic(ROC) Curve Analysis [PDF]
Journal of Biometrics & Biostatistics, 2012 The receiver operating characteristic (ROC) curve has been a popular statistical tool for characterizing the discriminating power of a classifier, such as a biomarker or an imaging modality for disease screening or diagnosis. It has been recognized that the accuracy of a given procedure may depend on some underlying factors, such as subject's ...
Zhang, Zheng, Huang, Ying
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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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Acceptance sampling for attributes via hypothesis testing and the hypergeometric distribution
Journal of Industrial Engineering International, 2017 This paper questions some aspects of attribute acceptance sampling in light of the original concepts of hypothesis testing from Neyman and Pearson (NP).
Robert Wayne Samohyl
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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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Applied Medical Informatics, 2023 Combining biomarkers and their statistics is used to increase the prediction performance of a diagnosis, but no gold standard method exists. We introduced and evaluated an approach using linear combinations of summary-based statistics tested in logistic ...
Ilie-Andrei CONDURACHE +1 more
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