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How To Fix Error Grid Analysis Software
If you have Error Grid Analysis Software then we strongly recommend that you download and run this (Error Grid Analysis Software) repair tool.
Symptoms & Summary
Error Grid Analysis Software and other critical errors can occur when your Windows operating system becomes corrupted. Opening programs will be slower and response times will lag. When you have multiple applications running, you may experience crashes and freezes. There can be numerous causes of this error including excessive startup entries, registry errors, hardware/RAM decline, fragmented files, unnecessary or redundant program installations and so on.
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File Size 746 KB
Compatible Windows XP, Vista, 7 (32/64 bit), 8 (32/64 bit), 8.1 (32/64 bit) Windows 10 (32/64 bit)
toolboxes, and other File Exchange content using Add-On Explorer in MATLAB. » Watch video Highlights from Clarke Error Grid Analysis clarke.m View all files Join the 15-year community celebration. Play games and win prizes! » Learn clarke error grid analysis more 4.5 4.5 | 6 ratings Rate this file 4 Downloads (last 30 clarke error grid analysis excel days) File Size: 27.1 KB File ID: #20545 Version: 1.9 Clarke Error Grid Analysis by Edgar Guevara Edgar Guevara (view profile)
8 files 153 downloads 4.62778 01 Jul 2008 (Updated 01 Apr 2013) Clarke EGA quantifies the accuracy of glucose estimates generated by meters as compared to reference | Watch this File File Information
Description The Clarke error grid approach is used to assess the clinical significance of differences between the glucose measurement technique under test and the venous blood glucose reference measurements. The method uses a Cartesian diagram, in which the values predicted by the technique under test are displayed on the y-axis, whereas the values received from the reference method are displayed on the x-axis. The diagonal represents the perfect clarke error grid matlab agreement between the two, whereas the points below and above the line indicate, respectively, overestimation and underestimation of the actual values. Zone A (acceptable) represents the glucose values that deviate from the reference values by ±20% or are in the hypoglycemic range (<70 mg/dl), when the reference is also within the hypoglycemic range. The values within this range are clinically exact and are thus characterized by correct clinical treatment. Zone B (benign errors) is located above and below zone A; this zone represents those values that deviate from the reference values, which are incremented by 20. The values that fall within zones A and B are clinically acceptable, whereas the values included in areas C-E are potentially dangerous, and there is a possibility of making clinically significant mistakes. [1-4] Syntax: [total, percentage] = clarke(y,yp) Inputs: y = reference values (mg/dl) yp = predicted/estimtated values (mg/dl) Outputs: total = total points per zone: total(1) = zone A, total(2) = zone B, and so on percentage = percentage of data which fell in certain region: percentage(1) = zone A, percentage(2) = zone B, and so on. Example: load example_data.mat [tot, per] = clarke(y,yp) References:  A. Maran et al., “Conti
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DatabasesAssemblyBioProjectBioSampleBioSystemsBooksClinVarCloneConserved DomainsdbGaPdbVarESTGeneGenomeGEO DataSetsGEO ProfilesGSSGTRHomoloGeneMedGenMeSHNCBI Web SiteNLM CatalogNucleotideOMIMPMCPopSetProbeProteinProtein evaluating clinical accuracy of systems for self-monitoring of blood glucose ClustersPubChem BioAssayPubChem CompoundPubChem SubstancePubMedPubMed HealthSNPSRAStructureTaxonomyToolKitToolKitAllToolKitBookToolKitBookghUniGeneSearch termSearch Advanced Journal list Help Journal parkes error grid excel ListBiomed Eng Onlinev.14; 2015PMC4416329 Biomed Eng Online. 2015; 14: 37. Published online 2015 Apr 24. doi: 10.1186/s12938-015-0035-3PMCID: PMC4416329Evaluation https://www.mathworks.com/matlabcentral/fileexchange/20545-clarke-error-grid-analysis of an open access software for calculating glucose variability parameters of a continuous glucose monitoring system applied at pediatric intensive care unitGábor Marics,# Zsófia Lendvai,# Csaba Lódi, Levente Koncz, Dávid Zakariás, György Schuster, Borbála Mikos, https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4416329/ Csaba Hermann, Attila J Szabó, and Péter Tóth-HeynFirst Department of Pediatrics, Semmelweis University, Bókay u. 53-54, Budapest, 1083 Hungary MRE Bethesda Children’s Hospital, Bethesda u. 3, Budapest, 1146 Hungary Department of Measurement and Automation, Kálmán Kandó Faculty of Electrical Engineering, Óbuda University, Bécsi út 96/B, Budapest, 1034 Hungary Department of Anesthesia and Intensive Care, Semmelweis University, Kútvölgyi út 4, Budapest, 1125 Hungary MTA-SE Pediatrics and Nephrology Research Group, Bókay u. 53, Budapest, 1083 Hungary Gábor Marics, Email: email@example.com.Contributor Information.Corresponding author.#Contributed equally.Author information ► Article notes ► Copyright and License information ►Received 2015 Jan 27; Accepted 2015 Apr 8.Copyright © Marics et al.; licensee BioMed Centra
Ana-Maria ŠimundićEditor-in-ChiefDepartment of Medical Laboratory DiagnosticsUniversity Hospital "Sveti Duh"Sveti Duh 6410 000 Zagreb, CroatiaPhone: +385 1 3712-021e-mail address:editorial_office [at] biochemia-medica [dot] com Useful links Events Follow us on Facebook Home Accu Chek Compact Plus blood glucometer evaluation Original professional article Jelena Kozar, Ana-Maria Šimundić, Nora Nikolac, Marijana Žirović, Elizabeta Topić. Accu Chek Compact Plus blood glucometer evaluation. Biochemia Medica 2008;18(3):361-7. http://dx.doi.org/10.11613/BM.2008.032 University Department of Chemistry, Sestre milosrdnice University hospital, Zagreb, Croatia *Corresponding author: am [dot] simundic [at] gmail [dot] com Abstract Aim: We aimed to evaluate Accu Chek Compact Plus blood glucometer by comparing its accuracy and precision with laboratory reference system. Methods: Original Olympus Glucose reagent served as a reference method. The difference between Olympus and Accu Chek glucose concentrations was tested by paired t-test. Glucometer accuracy was evaluated using: bias (%), Passing-Bablock regression, Bland-Altman and Clarke Error Grid analysis. Intra-assay glucometer precision was examined by 10 consecutive measurements at three glucose levels. Results: The average bias of Accu Chek was -6.6%; Passing-Bablock analysis revealed that there was no significant deviation from linearity; as of Bland-Altman analysis more than 95% of our values lied between mean ± 1.96 SD. The results of the Clarke Error Grid analysis were 100% in zone A of the error grid. Conclusions: Accu Chek Compact Plus blood glucometer has a good accuracy and precision and may be used interchangeably with our laboratory referent-system for daily glucose monitoring. Key words: accuracy; precision; analytical evaluation; self monitoring blood glucose device; Bland-Altman; Clarke Error Grid analysis Received: August 18, 2008 Accepted: September 10, 2008 Introduction Blood glucose monitoring devices provide us with instant feedback about approximate concentrations of blood glucose and are not supposed to be used for setting the diagnosi
error grid analysis blood glucose
Error Grid Analysis Blood Glucoseglucose as compared to the blood glucose value obtained in their meter It was then used to quantify the clinical accuracy of blood pressure analysis blood glucose estimates generated by meters as compared to a reference Blood Sugar Analysis value A description of the EGA appeared in Diabetes Care in Eventually the EGA became accepted as Clarke Error Grid Zones one of the gold standards for determining the accuracy of blood glucose meters The grid breaks down a scatterplot of a reference glucose meter and an evaluated glucose Parkes Error Grid meter into five regions Region
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Error Grid Analysisglucose as compared to the blood glucose value obtained in their meter It was then used to quantify the clinical accuracy of Plea For Error Grid Analysis blood glucose estimates generated by meters as compared to a reference clarke error grid analysis excel value A description of the EGA appeared in Diabetes Care in Eventually the EGA became accepted as clarke error grid glucose one of the gold standards for determining the accuracy of blood glucose meters The grid breaks down a scatterplot of a reference glucose meter and an evaluated glucose Spelling Error Analysis Grid meter into
error grid analysis glucose
Error Grid Analysis Glucoseglucose as compared to the blood glucose value obtained in their clarke error grid analysis meter It was then used to quantify the clinical Clarke Error Grid Analysis Excel accuracy of blood glucose estimates generated by meters as compared to a reference value A clarke error grid zones description of the EGA appeared in Diabetes Care in Eventually the EGA became accepted as one of the gold standards for determining parkes error grid the accuracy of blood glucose meters The grid breaks down a scatterplot of a reference glucose meter and an evaluated glucose meter into five
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Windows Operating Systems:
Compatible with Windows XP, Vista, Windows 7 (32 and 64 bit), Windows 8 & 8.1 (32 and 64 bit), Windows 10 (32/64 bit).