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  1. 73381
    “…We evaluated the ability of the model to discriminate between patients who would subsequently retest negative and those who would subsequently retest positive. …”
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    Predicting patients with false negative SARS-CoV-2 testing at hospital admission: A retrospective multi-center study
  2. 73382
    “…In a validation collective (n = 128), BIg-CoMet was able to discriminate well between patients with and without metastasis (AUC: 0.842, 95% CI: 0.774–0.911). …”
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    Deep Learning Prediction of Metastasis in Locally Advanced Colon Cancer Using Binary Histologic Tumor Images
  3. 73383
    “…Here, prospectively collected blood samples were used to identify circulating microRNA (miRNA) biomarkers to discriminate between malignant and benign breast lesions among women with abnormal mammograms. …”
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    Development of a microRNA Panel for Classification of Abnormal Mammograms for Breast Cancer
  4. 73384
    “…We identified differentially abundant taxa among cases and controls using linear discriminant analysis effect size analysis. ROC curve was used to evaluate diagnostic values of the bacterial candidates. …”
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    Fecal Enterotoxigenic Bacteroides fragilis–Peptostreptococcus stomatis–Parvimonas micra Biomarker for Noninvasive Diagnosis and Prognosis of Colorectal Laterally Spreading Tumor
  5. 73385
    “…A prediction model combining age >30 years, prior ventricular arrhythmia, age >1 year at repair, moderate or greater right ventricular dysfunction, severe tricuspid regurgitation, and mild or greater left ventricular dysfunction discriminated well between patients at low (<5%), intermediate (5%–20%), and high (>20%) 5‐year risk (optimism‐corrected C‐statistic, 0.86 [95% CI, 0.82–0.90]). …”
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    Online Artículo Texto
    Clinical Course Long After Atrial Switch: A Novel Risk Score for Major Clinical Events
  6. 73386
    “…This is particularly expressive in visuoconstructive abilities, which was the more discriminative feature between groups, followed by episodic verbal memory. …”
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    Neuropsychological features of progranulin-associated frontotemporal dementia: a nested case-control study
  7. 73387
    “…Associations between iron‐corrected T1 (cT1) and other markers of disease were investigated at baseline and at follow‐up. Discriminative performance of cT1, liver stiffness, and enhanced liver fibrosis (ELF) to identify those who failed to maintain remission over follow‐up was investigated using the areas under the receiver operating characteristic curves (AUCs). …”
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    Multiparametric Magnetic Resonance Imaging, Autoimmune Hepatitis, and Prediction of Disease Activity
  8. 73388
    “…Convergent validity and discriminant validity were strong. Higher scores correlated with less parent depressive symptoms (r = -0.141, 95%CI -0.240; -0.029, p = 0.0141), less impaired parent-infant bonding (r = -0.196, 95%CI -0.302; -0.056, p<0.0001), higher parent self-efficacy (r = 0.228, 95%CI 0.117; 0.332, p<0.0001), and higher parent satisfaction (r = 0.197, 95%CI 0.090; 0.308, p = 0.001). …”
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    Development and psychometric evaluation of the CO-PARTNER tool for collaboration and parent participation in neonatal care
  9. 73389
    “…Moreover, a VEGF cut-off the value of 250 pg/mL provided 80% sensitivity and 81.7% specificity for discriminating HCC patient from non-HCC patients. Similarly, the ratio of VEGF/PLT provided sensitivity and specificity of 77.5% and 80%, respectively which is higher than the accuracy provided by AFP. …”
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    Serum vascular endothelial growth factor as a tumor marker for hepatocellular carcinoma in hepatitis C virus-related cirrhotic patients
  10. 73390
    “…INTERPRETATION: Among adults who underwent a sleep study, case-ascertainment models for identifying moderate/severe OSA using health administrative data had relatively low sensitivity but high specificity and good discriminative ability. These findings could help study trends and outcomes of OSA individuals using routinely collected health care data.…”
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    Case-Ascertainment Models to Identify Adults with Obstructive Sleep Apnea Using Health Administrative Data: Internal and External Validation
  11. 73391
    “…Patients requiring ECMO therapy (n = 14) during ICU stay versus patients without ECMO treatment (n = 81) were evaluated for discriminative clinical prediction parameters and AI-based CT imaging features and their diagnostic potential to predict ECMO therapy. …”
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    Risk Stratification for ECMO Requirement in COVID-19 ICU Patients Using Quantitative Imaging Features in CT Scans on Admission
  12. 73392
    “…Furthermore, an SNP data set was processed through principal coordinates analysis, discriminant analysis of principal components and admixture Bayesian clustering analysis. …”
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    Genotyping of Two Mediterranean Trout Populations in Central-Southern Italy for Conservation Purposes Using a Rainbow-Trout-Derived SNP Array
  13. 73393
    “…Methods: Our study included 2 parts: (i) an exponential, non-discriminative snowball sampling strategy was used to recruit 91 Chinese students studying in the UK to complete an online questionnaire survey, and (ii) online Zoom focus group interviews were conducted with 16 students who completed the online survey to gain an in-depth understanding of their experiences and coping methods during the pandemic. …”
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    Facemask Wearing Among Chinese International Students From Hong Kong Studying in United Kingdom Universities During COVID-19: A Mixed Method Study
  14. 73394
    “…The AUC analysis of the serum cortisol levels to discriminate between severity of DR showed statistically significant diagnostic accuracy (NoDR group: AUC = 0.787, p<0.001; NPDR group: AUC = 0.852, p<0.001; PDR group: AUC = 0.887, p<0.001). …”
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    Serum cortisol is a biomolecular biomarker for severity of diabetic retinopathy
  15. 73395
    “…CONCLUSIONS: Our findings show lncRNA AC007128.1 can be regarded as biomarkers discriminating between ATB and LTBI and may also be a diagnostic biomarker for LBTI. …”
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    Up-regulated long noncoding RNA AC007128.1 and its genetic polymorphisms associated with Tuberculosis susceptibility
  16. 73396
    “…BACKGROUND: T(2)-weighted (T(2)w) intracranial vessel wall imaging (IVWI) provides good contrast to differentiate intracranial vasculopathies and discriminate various important plaque components. However, the strong cerebrospinal fluid (CSF) signal in T(2)w images interferes with depicting the intracranial vessel wall. …”
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    T(2)-Weighted Whole-Brain Intracranial Vessel Wall Imaging at 3 Tesla With Cerebrospinal Fluid Suppression
  17. 73397
    “…Nowadays, translational cancer research is mainly focused on the identification of new biomarkers able to discriminate those patients deriving greater efficacy from a given therapy. …”
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    Predictive Role of Leptin Receptor (Ob-R) Overexpression in Patients with Early Breast Cancer Receiving Neoadjuvant Systemic Treatment
  18. 73398
    “…We conducted a machine learning analysis to discriminate the important characteristics. RESULTS: A higher engagement rate was associated with higher weight loss at 8 weeks (r=−0.59; P<.001) and 24 weeks (r=−0.52; P=.001). …”
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    Machine Learning Analysis to Identify Digital Behavioral Phenotypes for Engagement and Health Outcome Efficacy of an mHealth Intervention for Obesity: Randomized Controlled Trial
  19. 73399
    “…Principal component analysis (PCA) and orthogonal partial least squares discriminant analysis (OPLS-DA) were used to verify the stability of the model. …”
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    LC-MS-Based Untargeted Metabolomics Reveals Early Biomarkers in STZ-Induced Diabetic Rats With Cognitive Impairment
  20. 73400
    “…Fear of being stigmatised and discriminated was observed to be one of the important barriers for HIV testing among those who had never tested and those who were unwilling to test in the future. …”
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    Willingness and Barriers to Voluntary Counselling and Testing Among Self-Perceived Healthy Adults in Tanzania
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