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  1. 74061
    “…In an independent testing dataset (n = 104), the obtained diagnostic prediction model discriminated BC patients from normal controls with high accuracy [AUROC = 0.9449 (95% CI: 90.07–98.91%), and AUPRC = 0.8640 (95% CI: 82.82–89.98%)]. …”
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  2. 74062
  3. 74063
    “…LLAMA is demonstrated in an analysis of macrophage surface projections, in which it is used to i) discriminate ruffles induced by lipopolysaccharide (LPS) and macrophage colony stimulating factor (CSF-1) and ii) determine the autonomy of ruffle morphologies. …”
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  4. 74064
    “…CONCLUSIONS: Oral health related quality of life was substantially impaired in Ugandan mothers but did not discriminate between HIV positive and negative participants. …”
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  5. 74065
    “…The model performance in estimating PFS probability was evaluated by assessing calibration (internally—developing set and externally—validating set) and quantifying the discriminative ability (Harrell C index). RESULTS: RFS selected five variables: ICI type (anti-PD-(L)1 monotherapy vs anti-CTLA-4 combo), ECOG PS (0 vs >0), neutrophil-to-lymphocyte ratio (≤3 vs >3), platelet count, and prior treatment lines. …”
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  6. 74066
    “…Very limited testing occurred in relation to test-re-test reliability, responsiveness, acceptability, cross-cultural revalidation, convergent validity, discriminant validity and criterion validity. CONCLUSIONS: Seven scales may be sufficiently sound to be used with professionals, primarily with nurses. …”
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  7. 74067
    “…BACKGROUND: The physical examination is one of the cornerstones of the diagnostic process in patients with acute shoulder injuries. The discriminative properties of a given examination test depend both on its validity and reliability. …”
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  8. 74068
    “…Psychometric evaluation of the new items in the FSDS-DAO included confirmatory factor analyses, tests of internal consistency and test–retest reliability, examinations of convergent and discriminant validity, and determination of responsiveness. …”
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  9. 74069
    “…We found a strong correlation (0.73, P-value < 0.001) between accuracies using the traditional method and those using the LR method, although the LR method was less affected by random variation within and across years and showed a better ability to discriminate between extreme GEBV quartiles. We confirmed that bias of GEBV was not significantly affected by h(2), validation cohort or trait. …”
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  10. 74070
    “…All P-SIM scores were moderately to strongly correlated with other outcomes, demonstrating convergent validity, apart from ClinROs (PASI, IGA) at baseline that had low variability. P-SIM scores discriminated known groups at week 16, confirming known-groups validity. …”
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  11. 74071
    “…METHODS: The multi- and interdisciplinary team of the Non-discriminating access for Digital Inclusion (DigI) project digitalized and customized available government-approved paper-based health promotion messages into a screen-suitable format. …”
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  12. 74072
  13. 74073
    “…Of importance, impedance curve trends (morphology) allowed to discriminate between different cell death mechanisms (apoptosis vs autophagy) in the absence of specific reagents, as confirmed by cell structural and functional studies by high-resolution microscopy. …”
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  14. 74074
    “…Similar to previously reported findings from the Fmr1(−/y) genetic mouse model, individuals with FXS were found to exhibit reduced b-wave and flicker amplitude in ERG and an impaired ability to discriminate contrasts compared to healthy controls. …”
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  15. 74075
  16. 74076
  17. 74077
    “…FR risk score could discriminate the prognostic difference of most clinical subgroups, except for M1 stage, HER2 and basal types. …”
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  18. 74078
    “…Although using Aβ1-42/Aβ1-40 alone only reached an AUC of 0.631 for MCI diagnosis, addition of the elevated Aβ1-42/Aβ1-40 to our previous model (i.e., activated platelet GSK-3β, ApoE ε4 genotype, olfactory decline, and aging) significantly increased the discriminating efficiency of T2DM-MCI from T2DM-nMCI, with an AUC of 0.846 (95% CI: 0.794–0.897) to 0.869 (95% CI: 0.822–0.916) in the training cohort and an AUC of 0.848 (95% CI: 0.815–0.882) to 0.867 (95% CI: 0.835–0.899) in the validation cohort, respectively. …”
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  19. 74079
    “…Support vector machines (SVMs) had a higher specificity than linear regression (LR) and linear discriminant analysis (LDA) (0.79 vs. 0.78 vs. 0.75), whereas LDA showed a higher sensitivity than LR and SVM (0.83 vs. 0.70 vs. 0.77). …”
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  20. 74080
    “…Sperm morphology, viability and total motility presented an area under the ROC curve (AUC) of 0.54, 0.64 and 0.68, respectively (P > 0.05), and thus were not able to discriminate between fertile and subfertile individuals. …”
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