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  1. 73821
    “…The Conicity-index (C-index) had a high ability to discriminate underlying AO. The purpose of this study was to determine the ability of C-index to predict all-cause mortality among non-cancer Chinese older people. …”
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    Conicity-index predicts all-cause mortality in Chinese older people: a 10-year community follow-up
  2. 73822
    “…Clinical digestive signs, routine laboratory results and CT signs of mesenteric ischemia did not discriminate intestinal necrosis from ischemia without necrosis. …”
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    A multicentric prospective observational study of diagnosis and prognosis features in ICU mesenteric ischemia: the DIAGOMI study
  3. 73823
    “…The 16S rRNA gene analysis showed that the microbial composition of the cecal samples changed by season (P = 0.005), with the linear discriminant analysis effect size showing that in the spring Escherichia coli and Lactobacillus murinus were more abundant and Helicobacter rodentium was less abundant. …”
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    Metabarcoding of bacteria and parasites in the gut of Apodemus agrarius
  4. 73824
    “…The ability of radiography to discriminate between disrupted/ intact articular integrity decreases as displacement decreases. …”
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    Intraoperative arthrography favorably impacts the early outcome of operatively managed fractures of the lateral humeral condyle displaced 1–5 mm in children
  5. 73825
    “…Two of these features plus axial length were used to train a quadratic discriminant analysis classifier. Classifier performance was assessed by its sensitivity and specificity in identifying retinal detachment eyes and visualised with a receiver operating characteristic (ROC) curve. …”
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    Retinal Shape-Based Classification of Retinal Detachment and Posterior Vitreous Detachment Eyes
  6. 73826
    “…Moreover, we identified four miRNAs with relatively high discriminative ability (AUC = 0.82) between non-pheno-converted DaT-positive G2019S carriers and pheno-converted L2PD patients (miR-4505, miR-8069, miR-6125, and miR-451a), which hold potential as early progression biomarkers for PD.…”
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    Differential serum microRNAs in premotor LRRK2 G2019S carriers from Parkinson’s disease
  7. 73827
    “…Many studies have investigated multiple methylation biomarkers in ctDNA from plasma or serum for discriminating OC patients from patients with benign diseases of the ovaries and/or healthy females. …”
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    Early diagnosis of ovarian cancer based on methylation profiles in peripheral blood cell-free DNA: a systematic review
  8. 73828
    “…In addition, it can effectively discriminate true CIN from normal or CIN mimic lesions, such as immature squamous metaplasia, atrophy, and inflammatory/reactive changes. …”
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    CIN grades possessing different HPV RNA location patterns and RNAscope is helpful tool for distinguishing squamous intraepithelial lesions in difficult cervical cases
  9. 73829
    “…Elucidating spatiotemporal microbial dynamics is imperative for discriminating robust community changes from ephemeral ecological trends, and for improving our overall understanding of the relationship between microbial communities and ecosystem health. …”
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    Microbiome response in an urban river system is dominated by seasonality over wastewater treatment upgrades
  10. 73830
    “…We also suggested the best discriminative cut-off for Ki67 (10% of positive tumor cells) for distinguishing HGSC from LGSC. …”
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    A comprehensive immunohistochemical analysis of 26 markers in 250 cases of serous ovarian tumors
  11. 73831
    “…We select four binary classification algorithms: logistic regression (LR), support vector machine (SVM), random forest (RF), and linear discriminant analysis (LDA) for side-by-side comparison. …”
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    Applying T-classifier, binary classifiers, upon high-throughput TCR sequencing output to identify cytomegalovirus exposure history
  12. 73832
    “…The main differences between the results of classification algorithms are due to the trade-off between sensitivity and specificity. Quadratic Discriminant Analysis (QDA) algorithm presents the highest accuracy (75.50 ± 0.08) but the minimum sensitivity (49.84 ± 0.25); In contrast, decision trees provide the lowest accuracy (51.95 ± 0.69) but the top sensitivity (82.52 ± 1.22). …”
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    Cardiovascular disease incidence prediction by machine learning and statistical techniques: a 16-year cohort study from eastern Mediterranean region
  13. 73833
    “…These results were confirmed by sparse partial least squares discriminant analysis which highlighted the contribution of these mediators to the separation between each of the groups. …”
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    Serum lipid mediator profiles in COVID-19 patients and lung disease severity: a pilot study
  14. 73834
    “…For competence (η(2)=0.01, P=.03) and immersion (η(2)=0.02, P=.01), significant differences were highlighted by the type of game. The discriminant and convergent validities of the instrument were supported by calculating the average variance extracted (AVE) and comparing the square roots of the AVE values to the correlation coefficients, respectively. …”
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    Reliability and Validity of the Arabic Version of the Game Experience Questionnaire: Pilot Questionnaire Study
  15. 73835
    “…The integrity of the cholinergic white matter pathways was compared between stages of the Alzheimer’s disease continuum, in the whole cohort and in a CSF amyloid-beta stratified subsample. The discriminative power of the integrity of the pathways was compared to the conventional volumetric measures of hippocampus and nucleus basalis of Meynert, using a receiver operating characteristics analysis. …”
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    Cholinergic white matter pathways along the Alzheimer's disease continuum
  16. 73836
    “…Furthermore, we developed a disease classifier based on plasma metabolites and gut microbiota that effectively discriminated RA patients with different disease activity in both the discovery cohort and the external validation cohort. …”
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    Multi-omics profiling reveals potential alterations in rheumatoid arthritis with different disease activity levels
  17. 73837
    “…Spearman correlation was used to analyze possible associations between gut microbiota and cardiometabolic risk factors, and linear discriminant analyses (LDA) were conducted to determine potential gut bacterial biomarkers. …”
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    Characterization of gut microbiota associated with metabolic syndrome and type-2 diabetes mellitus in Mexican pediatric subjects
  18. 73838
    “…RESULTS: When investigating population structure, we found that the STRUCTURE algorithm yielded greater insights than discriminant analysis of principal components (DAPC). …”
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    Investigating the genetic components of tuber bruising in a breeding population of tetraploid potatoes
  19. 73839
    “…Machine learning classifiers were able to identify a list of 20 proteins that could discriminate between cases and controls, with XGBoost providing the best classification with 86.1% accuracy and a cross-validated AUROC value of 0.947. …”
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    Proteomics and cytokine analyses distinguish myalgic encephalomyelitis/chronic fatigue syndrome cases from controls
  20. 73840
    “…Currently, in group A, endoscopic examination is needed to strictly discriminate “patients without gastritis” (defined as true A patients) from those “with gastritis.” …”
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    Diagnostic performance of the normal range of gastrin calculated using strict criteria based on a combination of serum markers and pathological evaluation for detecting gastritis: a retrospective study
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