Results 251 to 260 of about 3,063,172 (298)

Receiver operating characteristics of Radio VisioGraphy

Oral Surgery, Oral Medicine, Oral Pathology, Oral Radiology, and Endodontology, 1995
The diagnostic utility of intra-oral images obtained from the RVG second generation digital imaging system are compared with standard film images with the use of receiver operating characteristic analysis. Ten phantoms were constructed, each with 8 extracted teeth that had 12 approximal surfaces per phantom with holes drilled randomly to simulate ...
M E, Dagenais, B G, Clark
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Receiver Operating Characteristic Analysis

American Journal of Roentgenology, 2011
AJR 2011; 197:W784 0361–803X/11/1974–W784 © American Roentgen Ray Society Receiver Operating Characteristic Analysis I read with great interest the article by Ahn et al. [1], “Biopsy of Thyroid Nodules: Comparison of Three Sets of Guidelines,” in the January 2010 issue of the AJR.
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Receiver Operating Characteristic Studies and Measurement Errors

Biometrics, 1997
A receiver operating characteristic (ROC) curve expresses the probability of a true positive (PTP) as a function of the probability of a false positive (PFP) for all possible values of the cutoff between cases and controls. Theta, the area under ROC curve, is a measure of the diagnostic ability of the separator variable.
Coffin, Marie, Sukhatme, Shashikala
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Symmetric receiver operating characteristics

Journal of Mathematical Psychology, 2004
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Killeen, Peter R., Taylor, Thomas J.
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Receiver Operator Characteristic (ROC) Curves

Infection Control & Hospital Epidemiology, 1988
The goal of diagnostic testing is to identify patients with a particular disease. Often, it is just as important that the test not mistakenly identify healthy persons as having disease. For example, a new test for the acquired immunodeficiency syndrome (AIDS) might identify 99.99% of all patients infected with the human ...
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Receiver Operating Characteristic Methodology

Journal of the American Statistical Association, 2000
(2000). Receiver Operating Characteristic Methodology. Journal of the American Statistical Association: Vol. 95, No. 449, pp. 308-311.
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Comparison of the Receiver Operating Characteristic for Messages Received by Ear and by Eye

The Journal of the Acoustical Society of America, 1959
Receivers were presented with equal-length words under two conditions of difficult reception: (1) by ear, against a background of white noise; and (2) by eye, for a brief period in a tachistoscope. For each word presented, the receiver recorded a message and, immediately following, gave a confidence rating with respect to his accuracy of reception. The
Edward C. Carterette, Michael Cole
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A Boolean Algebra of receiver operating characteristic curves

2007 10th International Conference on Information Fusion, 2007
A reasonable starting place for developing decision fusion rules of families of classification systems is using the logical AND and OR rules. These two rules, along with the unary rule NOT, can lead to a Boolean algebra when a number of properties are shown to exist.
Mark E. Oxley, Steven N. Thorsen, Christine M. Schubert   +2 more
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Confidence Bands for Receiver Operating Characteristic Curves

Medical Decision Making, 1993
Receiver operating characteristic (ROC) curves are mapped out by the two types of errors that are generated by varying the decision threshold used to determine which subjects will be considered abnormal. Under the conventional binormal model for the ROC curve, two- sided and one-sided simultaneous confidence bands for an entire ROC curve, or for a ...
G, Ma, W J, Hall
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Relationship of Predictive Modeling to Receiver Operating Characteristics

Journal of Cardiopulmonary Rehabilitation and Prevention, 2008
Discriminatory capabilities of a measurement technique can be assessed by a receiver operating characteristic (ROC) curve analysis (specifically, area under the curve [AUC]) and predictive modeling (predictive accuracy and positive predictive value). Theoretically, predictive accuracy is dependent on disease prevalence while AUC assessments are not.To ...
Sandra, Mandic, Christina, Go, Ishita, Aggarwal, Jonathan, Myers, Victor F, Froelicher   +4 more
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