1naresh
Array ( [urn:ac.highwire.org:guest:identity] => Array ( [runtime-id] => urn:ac.highwire.org:guest:identity [type] => guest [service-id] => ajnr-ac.highwire.org [access-type] => Controlled [privilege] => Array ( [urn:ac.highwire.org:guest:privilege] => Array ( [runtime-id] => urn:ac.highwire.org:guest:privilege [type] => privilege-set [privilege-set] => GUEST ) ) [credentials] => Array ( [method] => guest ) ) ) 1nareshArray ( [urn:ac.highwire.org:guest:identity] => Array ( [runtime-id] => urn:ac.highwire.org:guest:identity [type] => guest [service-id] => ajnr-ac.highwire.org [access-type] => Controlled [privilege] => Array ( [urn:ac.highwire.org:guest:privilege] => Array ( [runtime-id] => urn:ac.highwire.org:guest:privilege [type] => privilege-set [privilege-set] => GUEST ) ) [credentials] => Array ( [method] => guest ) ) )Table 2:Classification of each spinal level as normal, mild, moderate, and severe stenosis on the evaluation cohort (n = 130) using decision trees trained on the development cohort (n = 130)
Metric Accuracy AUROC Cohen κ Accuracy 95% CI AUROC 95% CI κ 95% CI DSCA 64.9 (60.9–69.0) 76.6 (73.9–79.3) 0.62 (0.57–0.66) DSDIA 71.4 (67.1–75.7) 80.9 (78.0–83.8) 0.69 (0.64–0.75) DDRDIA 76.5 (72.6–80.4)a 84.3a (81.7–86.9)a 0.75a (0.71–0.79)a DDRCA 78.9 (75.0–82.9)a 86.0a (83.3–88.5)a 0.80a (0.75–0.83)a
↵a Ratio-based metrics with higher κ scores (P < .001).