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  1. 74701
    “…The PFR-24 cutoff of 161 mm Hg and dPFR-24 cutoff of −1.44 mm Hg discriminate NIV success and failure groups with the area under curve (confidence interval) of 0.78 (0.62–0.95); p = 0.015 and 0.74 (0.55–0.93); p = 0.039, respectively. …”
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  2. 74702
    “…We obtained three IFPTML models using General Discriminant Analysis (GDA), Classification Tree with Univariate Splits (CTUS), and Classification Tree with Linear Combinations (CTLC). …”
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  3. 74703
  4. 74704
    “…A total of 451 polymorphic loci were amplified in vitro from 188 samples, and revealed high polymorphism information content (PIC = 0.1765–0.2253), marker index (MI = 0.0001–0.0002), effective multiplex ratio (E = 15.1720–23.5591), resolving power (Rp = 26.1075–40.2795), discriminating power (D = 0.9766–0.9879), expected heterozygosity (H = 0.1957–0.2588), and mean heterozygosity (H(avp) = 0.000007–0.000009), demonstrating the effectiveness of AFLP markers to speciate Sporothrix. …”
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  5. 74705
    “…Results of analyses of variable importance in projection score, a measure of a variable's importance in partial least squares–discriminant analysis (PLS‐DA) showed that the top five amino acids being associated with adverse events were 3‐methylhistidine (3‐Me‐His), β‐alanine, valine, hydroxyproline, and tryptophan. …”
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  6. 74706
  7. 74707
    “…With 16S rRNA sequencing, after correction for false-discovery rate (FDR), rank-sum test at the genus level revealed that the relative abundance of Oscillibacter and Enterobacter was remarkably increased in patients and Blautia and Romboutsia genera predominated in the controls, augmented by additional LEfSe (linear discriminant analysis effect size) analysis. As for further comparison at the species level with metagenomics sequencing, rank-sum test together with LEfSe analysis confirmed the enrichment of Alistipes shahii and Odoribacter splanchnicus in the patient group. …”
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  8. 74708
  9. 74709
    “…The Cronbach'α coefficient method was used to test the internal consistency reliability, and a structural equation model was used to explore the construct validity of the scale. The discriminant validity of the scale was obtained by factor analysis. …”
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  10. 74710
    “…OBJECTIVES: To evaluate if artificial intelligence (AI) can discriminate recalled benign from recalled malignant mammographic screening abnormalities to improve screening performance. …”
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  11. 74711
    “…The receiver-operating characteristic curve demonstrated the ratio had a good ability to discriminate patients survive at the end of five years follow-up, with an area under the curve (AUC) of 0.8965 (95% CI: 0.7849–0.9811). …”
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  12. 74712
    “…The following variables were associated with RFS: male sex (HR, 2.55; 95% CI, 1.46–4.45; P<0.01), R2 margins (HR, 13.08; 95% CI, 4.26–40.15; P<0.001), lymph node-positive proportion (HR, 2.55; 95% CI, 1.20–5.45; P<0.05), and RFS risk score (HR, 2.70; 95% CI, 1.82–4.06; P<0.001). The discriminative ability of the final model for OS and RFS was assessed using C statistics (0.755 for OS and 0.745 for RFS). …”
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  13. 74713
    “…Next-generation sequencing (16S-rRNA gene V3–V4 region) was used to determine bacterial taxa relative abundance (RA). β-Diversities of HNC HPV+ (N = 16 patients, n = 64 samples) and HNC HPV– (N = 7 patients, n = 28 samples) groups were compared using PERMANOVA (pMonte Carlo < 0.05). LEfSe discriminant analysis was performed to identify differentiating taxa (Log LDA > 2.0). …”
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  14. 74714
    “…Fecal samples were obtained from mice at 3-, 5- and 7-months of age, and microbiota analyzed by 16S ribosomal RNA gene amplicon sequencing. Linear discriminant analysis of effect size (LefSe) identified taxa associated with APOE status, depicted as cladograms to show phylogenetic relatedness. …”
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  15. 74715
    “…Finally, the genera enriched by high‐dose LcS [linear discriminant analysis (LDA) score > 2.0] were positively correlated with healthy muscle and physiological condition (P < 0.05), while the genera enriched in aged control mice (LDA score > 2.0) were negatively associated with healthy muscle and physiological condition (P < 0.05). …”
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  16. 74716
    “…Univariable and multivariable logistic regression analyses were used to determine the potential independent predictors of HER2 status. The discriminative ability of quantitative parameters was assessed by receiver operating characteristic (ROC) curve analyses and validated in the independent cohort. …”
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  17. 74717
    “…One-way ANOVAs, Chi-squared test, Pearson’s correlation, and multiple logistic regression were used to evaluate the association between VAI, LAP, TG/HDL-C, and TyG with IR. To correctly discriminate individuals with insulin resistance, a receiver operating characteristic (ROC) analysis was conducted for each evaluated variable and the overall diagnostic accuracy was quantified using the area under the ROC curve (AUC). …”
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  18. 74718
    “…CONCLUSIONS: The whole-tumor histogram and texture analyses of the IVIM parameters based on the biexponential model provided a non-invasive method to discriminate pathologic tumor subtypes preoperatively in patients with locally advanced gastric cancer. …”
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  19. 74719
    “…CONCLUSION: The novel test is able to detect SARS-CoV-2, influenza A and influenza B with high sensitivity and clearly discriminate between these viruses. It is therefore optimally suited for differential diagnostics for patients presenting with symptoms compatible with COVID-19 and influenza. …”
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  20. 74720
    “…Even for those exceeding the MCID threshold, many did not achieve the 6MWT distance threshold of 205m previously identified as discriminating between home and community ambulators. …”
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