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However, repeating the blind test with different randomly chosen blinded test sets of 23 samples showed some variability of the results (classification accuracies varied between 65 and 83%), indicating that the third DFA model is less stable than the first two models.
Teams were ranked based on two classification performance metrics evaluated on a blinded test dataset.
For scientists interested in comparing their own perception to the automated scores, they may perform a blinded test.
Profile scores were then generated for the blinded test set and samples were classified as "CFS" or "healthy" according to this cut-off.
Evaluation of IOP-lowering effects was performed by measuring the IOP with tonometer at 2 hours after drug instillation under blinded test protocols.
A biomarker model for the identification of patients with DN was validated with this multicenter blinded test set and allowed diagnosis of DN with high accuracy.
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For algorithm research protocols submitted to and approved by CSRC, unblinded "training" ECG data sets are provided for algorithm development and for initial evaluation, whereas separate blinded "testing" data sets are used for formal algorithm evaluation in cooperation with the CSRC according to methods detailed in this document.
Additionally, 7 specimens were sent to the Indus Hospital laboratory for blinded testing.
Validation using the blinded testing set confirmed sensitivity and specificity values of 82.7% and 51.2%, respectively.
However, during subsequent blinded testing, mutations in all of these exons except 27A were detected.
A panel of stored strains was selected to undergo blinded testing by the phage assay.
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