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  1. 72361
    “…Furthermore, redundancy discriminant analysis of microbial communities and soil properties of PMMR-OF, SM-OF, CCF, and the control treatments indicated that the main variables of bacterial and fungal communities included organic matter content, available P, and available K. …”
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  2. 72362
    “…Materials and methods: The schizophrenia screening system automatically distinguishes patients with schizophrenia from healthy subjects via yoga-induced transient autonomic responses measured with a wearable wireless electrocardiograph (ECG) using linear discriminant analysis (LDA; Z score ≥ 0 → suspected schizophrenia, Z-score < 0 → healthy). …”
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  3. 72363
    “…The indicator species mainly belonged to Actinobacteria in bacteria and Basidiomycota in fungi at the phylum level; this finding was further supported by the linear discriminant analysis (LDA) effect size (LEfSe). Additionally, GC-MS identified a small amount of ergosterol, a specific biomarker of fungi under Pinus. …”
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  4. 72364
    “…The objective was to identify anthropometric cut-off points that allow discriminating subjects at increased risk of presenting high blood pressure and glycemia in Argentine adults. …”
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  5. 72365
    “…. -0.072±1.17, p = 0.039) and participants found Nutri-Score more helpful to discriminate the nutritional quality of Breakfast Products and Breakfast Cereals (resp. 1.32±1.00 vs. 1.14±1.02, p < 0.01 and 1.33±1.00 vs. 1.00±1.03, p < 0.0001). …”
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  6. 72366
    “…The objective of this study is to develop a peer learning network with a distribution-aware penalty mechanism proposed to learn discriminative feature representation and mitigate the bias and variance problems in the long-tailed distribution. …”
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  7. 72367
    “…Random forest machine learning achieved great discriminative performance in HCC prediction (area under the curve [AUC] = 1.00 in the training cohort, AUC = 0.950 for top five class signature, and AUC = 0.943 for the top 50 operational taxonomy units [OTUs] in the validation cohort). …”
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  8. 72368
    “…Lastly, a predictive model built successfully discriminated patients with vs. without immunotherapy response and predicted the survival of aGC patients. …”
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  9. 72369
    “…ROC curve analysis indicated that HSI levels of 0.55 could discriminate CTEPH from CTEPD with a sensitivity of 92.3% and specificity of 87.5% in female patients (an area under the curve, 0.937; 95% CI: 0.879–0.995, p < 0.001). …”
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  10. 72370
    “…Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment analysis were performed on the DEGs, and logistic regression models were used to construct a prediction model to discriminate UIA from healthy samples. We then performed GSEA on the genes in the model, followed by model validation using the GSE54083 dataset. …”
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  11. 72371
    “…Using a copeptin cutoff level of 4.6pmol/l had a sensitivity of 100% (95%CI 100-100) and a specificity of 90% (95%CI 70-100) to discriminate between diabetes insipidus and primary polydipsia. …”
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  12. 72372
    “…ROC curve showed that the 8th pathological prognostic staging had better discriminative ability compared with the 7th anatomical staging [the area under the curve (AUC) 0.653 vs. 0.546, P < 0.001]. …”
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  13. 72373
    por Dhakal, Samitinjaya, Dey, Moul
    Publicado 2022
    “…Partial least squares-discriminant analysis revealed distinct BA signatures in stool and plasma post interventions. …”
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  14. 72374
    “…Multivariate logistic regression was utilized to determine hematoma growth parameters. The discriminant score predictive value was assessed using the area under the ROC curve (AUC). …”
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  15. 72375
    “…CONCLUSIONS: These results indicate that the cellular immortality test is reproducible and can detect immortalized (i.e., potentially tumorigenic) cells such as HEK293 cells with a lower growth rate than HeLa cells by discriminating against normal cells, which could contribute to ensuring the safety and quality of hCTPs.…”
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  16. 72376
    “…All domains were discriminative, except the social and work domains. CONCLUSIONS AND RELEVANCE: In this survey study, the instrument was validated with 8 domains related to chemosensory dysfunction and quality of life. …”
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  17. 72377
    “…BACKGROUND: The study aims to compare the prognostic performance of conventional scoring systems to a machine learning (ML) model on coronary computed tomography angiography (CCTA) to discriminate between the patients with and without major adverse cardiovascular events (MACEs) and to find the most important contributing factor of MACE. …”
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  18. 72378
  19. 72379
    “…The C-index values were 0.778 for CSS, and 0.668 for OS in the training set, which displayed the good discriminations. In the external validation set, the C-index values were 0.945 for CSS, and 0.703 for OS. …”
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  20. 72380
    “…Results: SCT symptoms demonstrated strong discriminant validity from the ADHD-IN symptoms. SCT showed stronger first-order and unique associations than ADHD-IN with anxiety, depression, and ODD, whereas ADHD-IN showed stronger first-order and unique associations than SCT with ADHD-HI, CU, and social and academic impairment. …”
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