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Clarke Error Grid Analysis 1.0
File ID: 78470

Clarke Error Grid Analysis 1.0
Download Clarke Error Grid Analysis 1.0http://www.mathworks.comReport Error Link
License: Freeware
File Size: 10.0 KB
Downloads: 47
Submit Rating:
Clarke Error Grid Analysis 1.0 Description
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 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 dlT-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. [1,2]


[total, percentage] = clarke(y,yp)

y = reference values (mg/dl)
yp = predicted/estimtated values (mg/dl)

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.

load example_data.mat
[tot, per] = clarke(y,yp)

[1] A. Maran et al. "Continuous Subcutaneous Glucose Monitoring in Diabetic Patients"
Diabetes Care, Volume 25, Number 2, February 2002
[2] B.P. Kovatchev et al. "Evaluating the Accuracy of Continuous Glucose-Monitoring Sensors"
Diabetes Care, Volume 27, Number 8, August 2004

Edgar Guevara Codina
File Version 1.1
November 18 2008
Ver. 1.1 corrected upper B-C boundary, lower B-C boundary slope ok, thanks to Steven Keith from BD Technologies for the corrections!

License: Freeware

Related: references, maran, datamat, percentage, quotcontinuous, subcutaneous, patientsquot, Diabetes, diabetic, Monitoring, Glucose, Region, Syntax, Total, mistakes, significant, possibility

O/S:BSD, Linux, Solaris, Mac OS X

File Size: 10.0 KB

Downloads: 47

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