A mostrar 1 - 19 resultados de 19 para a pesquisa 'external consistent', tempo de pesquisa: 0.04seg Refinar resultados
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    Observation methods. Por Konstanze Krueger (6750239)

    Publicado em 2025
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    Protocol data. Por Konstanze Krueger (6750239)

    Publicado em 2025
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    Table 1_Association between vascular aging and cardiovascular-kidney-metabolic syndrome.docx Por Shuyi Zeng (8551422)

    Publicado em 2025
    “...Further mediation analysis revealed that the triglyceride–glucose (TyG) index mediated 25.23% of the association between ePWV and CKM. In the external validation cohort, the ePWV threshold corresponding to CKM Stage 4 was 8.52, which was consistent in direction and statistical significance with the NHANES-derived model....”
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    Table 2_Development and validation of a nomogram-based prediction model for hospital-acquired carbapenem-resistant Acinetobacter baumannii in critically ill patients: a multicenter... Por Wenjing Jiang (7436471)

    Publicado em 2025
    “...Future research should focus on prospective external validation and integration of environmental surveillance and microbiological genomic data to enhance the model’s predictive accuracy and generalizability....”
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    Table 1_Development and validation of a nomogram-based prediction model for hospital-acquired carbapenem-resistant Acinetobacter baumannii in critically ill patients: a multicenter... Por Wenjing Jiang (7436471)

    Publicado em 2025
    “...Future research should focus on prospective external validation and integration of environmental surveillance and microbiological genomic data to enhance the model’s predictive accuracy and generalizability....”
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    Table 1_Cross-species validation of a 6-miRNA blood signature for Parkinson’s disease: from MPTP mice to human PBMC and serum exosomes.docx Por Nagyum Jung (22686458)

    Publicado em 2025
    “...Stability selection identified a 6-miRNA panel comprising miR-92b, miR-133a, miR-326, miR-125b, miR-148a, and miR-30b. External validation demonstrated consistent discriminative performance across platforms: GSE16658 AUC = 0.696 (p = 0.060), GSE269776 AUC = 0.791 (p < 0.001), and GSE269775 AUC = 0.725 (p < 0.001)....”
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    Table 2_Deep learning approach for objective differentiation of kidney deficiency syndrome in reproductive age females: a tongue-face fusion model.xlsx Por Kaiwei Li (4372756)

    Publicado em 2025
    “...We used 5-fold cross-validation to evaluate the performance by six indicators: accuracy, precision, recall, F1 score, receiver operating characteristic (ROC) and area under the curve (AUC). Finally, external validation was conducted on an independent test set consisting of 130 patients with a 1:1 ratio of KDS to NKDS cases....”
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    Table 1_Deep learning approach for objective differentiation of kidney deficiency syndrome in reproductive age females: a tongue-face fusion model.xlsx Por Kaiwei Li (4372756)

    Publicado em 2025
    “...We used 5-fold cross-validation to evaluate the performance by six indicators: accuracy, precision, recall, F1 score, receiver operating characteristic (ROC) and area under the curve (AUC). Finally, external validation was conducted on an independent test set consisting of 130 patients with a 1:1 ratio of KDS to NKDS cases....”