Sentence examples for score for discriminating from inspiring English sources
To independently recalibrate and revalidate the Cumberland Ankle Instability Tool (CAIT) cutoff score for discriminating individuals with and without chronic ankle instability (CAI).
The Korean version of ISI was previously validated with good sensitivity and specificity and showed a 15.5 cut-off score for discriminating patients with insomnia [26].
However, previous studies have examined this and have reported the optimal cutoff on the FAST total score for discriminating patients from controls to be 11 (Rosa et al. 2007, Moro et al. 2012) or 15 (Barbato et al. 2013).
A Fisher Freeman Halton exact test was used to compare the subjective score for discriminating ability between protocols.
In addition, the curve indicated no definable cutoff score for discriminating symptoms of bipolar I patients from those of unipolar patients.
At the patient level, a cumulative GSUS score for discriminating arthritis patients from non-arthritic patients has yet to be determined.
Because our GRS for cancer contains various types of cancer, we were unable to find a published genetic risk score of the same scope for discriminating between cases and controls.
The classification scores for discriminating between ADHD and healthy subjects were close to chance.
However, the authors observed that the classification scores for discriminating between ADHD and healthy subjects were close to chance and that functional connectivity estimations were strongly dependent on the sample characteristics.
ROC curves are particularly useful when evaluating the integrity of clinical measures for differential diagnosis because cutoff scores suitable for discriminating between different disorders are often not the same as those associated with separating typical from atypical status (Streiner & Cairney, 2007).
Firstly, the AUC for our microcirculatory dysfunction score was similar to the AUC of the MEDS score for predicting 28-day mortality (0.75 and 0.79, respectively), suggesting that our score is efficient for discriminating the most severe patients.
