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10.3390/diagnostics10090610 http://scihub22266oqcxt.onion/10.3390/diagnostics10090610 32825135!7555914!32825135     free     free     free Deprecated: Implicit conversion from float 211.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 211.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 211.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 211.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 211.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534       Diagnostics+(Basel) 2020 ; 10 (9): ä Nephropedia Template TP {{tp|p=32825135|t=2020. A Software Tool for Exploring the Relation between Diagnostic Accuracy and Measurement Uncertainty |pdf=|usr=}}{{32825135}} gab.com Text A Software Tool for Exploring the Relation between Diagnostic Accuracy and Measurement Uncertainty JO: Diagnostics (Basel) http://www.kidney.de/pget.php?&tw=1&pmid=32825135 #FOAvip Screening and diagnostic tests are used to classify people with and without a disease. Diagnostic accuracy measures are used to evaluate the correctness of a classification in clinical research and practice. Although this depends on the uncertainty of measurement, there has been limited research on their relation. The objective of this work was to develop an exploratory tool for the relation between diagnostic accuracy measures and measurement uncertainty, as diagnostic accuracy is fundamental to clinical decision-making, while measurement uncertainty is critical to quality and risk management in laboratory medicine. For this reason, a freely available interactive program was developed for calculating, optimizing, plotting and comparing various diagnostic accuracy measures and the corresponding risk of diagnostic or screening tests measuring a normally distributed measurand, applied at a single point in time in non-diseased and diseased populations. This is done for differing prevalence of the disease, mean and standard deviation of the measurand, diagnostic threshold, standard measurement uncertainty of the tests and expected loss. The application of the program is illustrated with a case study of glucose measurements in diabetic and non-diabetic populations. The program is user-friendly and can be used as an educational and research tool in medical decision-making. Twit Text FOAVip A Software Tool for Exploring the Relation between Diagnostic Accuracy and Measurement Uncertainty ????Diagnostics (Basel) http://www.kidney.de/pget.php?&tw=1&pmid=32825135 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=32825135 #FOAvip English Wikipedia <ref>{{Cite pmid|32825135}}</ref> A Software Tool for Exploring the Relation between Diagnostic Accuracy and Measurement Uncertainty #MMPMID32825135 Chatzimichail T; Hatjimihail AT Diagnostics (Basel) 2020[Aug]; 10 (9): ä PMID32825135show ga Screening and diagnostic tests are used to classify people with and without a disease. Diagnostic accuracy measures are used to evaluate the correctness of a classification in clinical research and practice. Although this depends on the uncertainty of measurement, there has been limited research on their relation. The objective of this work was to develop an exploratory tool for the relation between diagnostic accuracy measures and measurement uncertainty, as diagnostic accuracy is fundamental to clinical decision-making, while measurement uncertainty is critical to quality and risk management in laboratory medicine. For this reason, a freely available interactive program was developed for calculating, optimizing, plotting and comparing various diagnostic accuracy measures and the corresponding risk of diagnostic or screening tests measuring a normally distributed measurand, applied at a single point in time in non-diseased and diseased populations. This is done for differing prevalence of the disease, mean and standard deviation of the measurand, diagnostic threshold, standard measurement uncertainty of the tests and expected loss. The application of the program is illustrated with a case study of glucose measurements in diabetic and non-diabetic populations. The program is user-friendly and can be used as an educational and research tool in medical decision-making. äA Software Tool for Exploring the Relation between Diagnostic Accuracy(epmc).pdf DeepDyve Pubget Overpricing