Showing 1 - 20 results of 793 for search '(( auc ((values decrease) OR (((larger decrease) OR (marked decrease)))) ) OR ( k means decrease ))', query time: 0.57s Refine Results
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    K-means++ clustering algorithm. by Zhen Zhao (159931)

    Published 2025
    “…Firstly, recursive feature elimination using cross validation (RFECV), maximum information coefficient (MIC), and mean decrease accuracy (MDA) methods were utilized to select population distribution feature factors. …”
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    K-means results. by Fei Zhang (85787)

    Published 2025
    “…<div><p>This study aims to investigate the dynamics of basketball game pace and its influence on game outcomes through a novel intra-game segmentation approach. By employing K-means clustering on possession duration, we categorized possessions from 1,141 NBA games in the 2019–2020 season into high-frequency (HFS), low-frequency (LFS), and normal-frequency segments (NFS). …”
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    ROC curve and AUC value of all models. by Tiago de Oliveira Barreto (20485207)

    Published 2024
    “…As for Specificity (82.94%) and ROC-AUC (82.13%), the Multilayer Perceptron with SGD optimizer obtained the highest scores. …”
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    Effects of GJE extract treatment decreased expression of NF-kB p65. by Natnicha Suttawong (22367172)

    Published 2025
    “…Brown color represents NF-kB p65 positive staining. The percentage of positive staining for NF-kB p65 (E). …”
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    Significantly Enriched Pathways. by Jiyong Zhang (2498740)

    Published 2025
    “…Pathway analysis revealed a marked decrease in expression within certain key metabolic pathways (such as the one-carbon pool by folate) in the NAFLD group, while expression in DNA repair-related pathways (such as non-homologous end joining) was significantly increased. …”
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    <b>Supporting data for manuscript</b> "<b>Voluntary locomotion induces an early and remote hemodynamic decrease in the large cerebral veins</b>" by Kira Shaw (18796168)

    Published 2025
    “…The locomotion values (traces and metrics) are in arbitrary units with larger integers representing a greater displacement of the spherical treadmill, the hemodynamic (Hbt) values (traces and metrics) are a percentage change from the normalised baseline (prior to stimulus presentation), and the corresponding time series vector is presented in seconds. …”
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    Supplementary file 1_Identifying early blood glucose trajectories in sepsis linked to distinct long-term outcomes: a K-means clustering study with external validation.docx by Huan Ma (713125)

    Published 2025
    “…Distinct clusters were demarcated using K-means clustering based on the BG trajectory within the first 48 hours after ICU admission, while the optimal number of clusters was determined by a consensus of quantitative metrics and the elbow plot. …”
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    Image 1_Relationship between triglyceride glucose-body mass index baselines and variation with future cardiovascular diseases risk in the middle-aged and elderly individuals.jpeg by Junpeng Qiao (11726521)

    Published 2025
    “…The change of TyG-BMI was categorized using K-means clustering and baseline TyG-BMI was grouped based on quartiles. …”
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    Image 2_Relationship between triglyceride glucose-body mass index baselines and variation with future cardiovascular diseases risk in the middle-aged and elderly individuals.jpeg by Junpeng Qiao (11726521)

    Published 2025
    “…The change of TyG-BMI was categorized using K-means clustering and baseline TyG-BMI was grouped based on quartiles. …”
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    Table 1_Relationship between triglyceride glucose-body mass index baselines and variation with future cardiovascular diseases risk in the middle-aged and elderly individuals.docx by Junpeng Qiao (11726521)

    Published 2025
    “…The change of TyG-BMI was categorized using K-means clustering and baseline TyG-BMI was grouped based on quartiles. …”
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