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  1. 74461
  2. 74462
    “…Finally, survival and molecular subtypes were successfully modeled using other machine learning techniques including logistic regression, discriminant analysis, SVM, CHAID, C5, C&R trees, KNN algorithm, and Bayesian network. …”
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  3. 74463
    “…All serum and NSA samples were run on a flow cytometer (Bio-Plex 200; Bio-Rad, Life Sciences Research) in duplicates and assessed for predictive ability in discriminating infection status and healing status using receiver operating characteristic (ROC) curve analysis, with accuracy summarized by the area under the ROC curve (AUC). …”
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  4. 74464
    “…CONCLUSION:: The main finding of this study is that AIAS provided an exhaustive series of measurements in the 3 planes of space which were efficient in discriminating between HV and controls with highly significant figures, even when small numerical differences were observed. …”
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  5. 74465
    “…The HTMT values for all variables are in the range from 0.315 to 0.833, confirming the discriminant validity. The Thai CBI-SS was found to be a valid and reliable tool for evaluating burnout syndrome in preclinical medical students in Thailand.…”
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  6. 74466
    “…CONCLUSIONS: In patients undergoing high-risk PCI, interruption of DAPT in the first 12 months occurred infrequently and was associated with a significantly higher adjusted risk of major adverse cardiovascular events and net adverse clinical events. 2017 ESC stent-driven high ischemic risk criteria may help clinicians to discriminate patient selection in the use of long-term DAPT when the ischemic risk certainly overcomes the bleeding one.…”
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  7. 74467
    “…It has been utilized to discriminate patients at risk of postoperative complications and predict the postoperative outcome of major surgeries. …”
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  8. 74468
    “…With no industry standard for determining malreduction, it is unclear whether the most commonly used criteria is a valuable discriminator for clinical decision making. Our objective was to describe the rates of syndesmosis revision that are reported in the literature and to determine if malreduction diagnoses are reliable in predicting the need for syndesmosis revision surgery. …”
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  9. 74469
    “…However, HC2 cannot discriminate HPV16 and 18 from the other hrHPV types, which greatly limited the application of HC2 in cervical cancer screening. …”
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  10. 74470
    “…Based on ROC curve analyses, the diagnostic performance of chemerin (AUC 0.78, 95% CI 0.69–0.87) was similar to C-reactive protein (CRP) (AUC 0.78, 95% CI 0.68–0.87) in discriminating sepsis severity. However, increased chemerin at sepsis onset and one week later was an independent predictor of 28-day mortality (sepsis onset: HR 3.58, 95% CI 1.48–8.65, p = 0.005; one week after: HR 10.01, 95% CI 4.32–23.20, p < 0.001). …”
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  11. 74471
    “…The AUROC of a new parameter resulting from the combination of the TG/HDL ratio with PChE levels showed a further increment in the discriminant power of the bladder cancer presence (0.6298), interestingly with a negative predictive value (89%) according to the Bayesian approach. …”
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  12. 74472
    “…Women without cytologic abnormalities had a higher prevalence of L. iners dominated communities than women with abnormal cervical cytology and HR HPV+ respectively (P<0.04), and L. gasseri relative abundance was differentially greater among these women compared to women with abnormal cervical cytology or who were high-risk HPV+ (Linear discriminant analysis effect size =4.17; P=0.0009). After adjustment for age, white race, current smoking, and ≥2 male partners in the last year, however, we did not detect differences in the vaginal microbiota community states across the three outcome groups. …”
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  13. 74473
    “…Data were statistically analyzed by ANOVA and discriminant analyses to obtain these genes’ responsiveness for the different brain regions. …”
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  14. 74474
    “…Moreover, the linear discriminant analysis effect size (LEfSe) showed that piglets fed extruded corn with added enzymes contained less intestinal pathogenic bacteria, such as Holdemanella and Desulfovibrio, compared with piglets fed just extruded corn. …”
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  15. 74475
    “…Starting from the cerebral segmentations applied by SPM on the main cortical macro-areas of each patient, Pyradiomics was used for the feature extraction process; subsequently, an innovative descriptive-inferential mixed sequential approach and a machine learning algorithm (i.e., discriminant analysis) were used to obtain the best diagnostic performance in prediction of amyloid deposition and the final diagnosis of AD. …”
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  16. 74476
    “…We found that the lnc-IL7R level correctly identified patients with COPD (sensitivity = 0.83, specificity = 0.83), precisely discriminated those without emphysematous phenotype (sensitivity = 0.48, specificity = 0.89), and its differential expression reflected disease course based on its correlation with the COPD GOLD stage (r = −0.59, p < 0.001), %LAA(-950insp) (r = −0.30, p = 0.002), total LAA (r = −0.35, p < 0.001), FEV(1)(%) (r = 0.52, p < 0.001), FVC (%) (r = 0.45, p < 0.001), and post-bronchodilator FEV(1)/FVC (r = 0.41, p < 0.001). …”
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  17. 74477
    “…Results: We demonstrate that, compared to probe 2, probe 9 with improved physiological properties hold the fastest kinetics (~10 min) to produce not only higher brain fluorescence intensity in 10-month-old APP/PS1 transgenic AD mice, but also afford a higher discrepancy in brain fluorescence to discriminate AD mice from wild-type (WT) mice. Probe 9 also hold the ability to detect soluble Aβ species in 6-month-old APP/PS1 transgenic mice. …”
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  18. 74478
    “…The model shows a moderate capacity to discriminate between success and failure of treatment, with an AUC of 67.6% (95% CI = 64.9–70.3%). …”
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  19. 74479
    “…Although the eGFR study equations had comparable prognostic accuracy in terms of mortality risk, BIS and FAS were able to reclassify NH residents pertaining to a low-risk group with CKD-EPI, and this reclassification improves the discriminative capacity of CKD-EPI with respect to overall mortality. …”
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  20. 74480
    “…U-Net liked generators and modified discriminators with two-channels output, one channel for distinguishing real and SFFDMs and the other for representing a probability map for breast mask, were used in our algorithm. …”
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