Showing 141 - 160 results of 125,733 for search '(((( auc values decrease ) OR ( 1 levels increased ))) OR ( ((i large) OR (a large)) decrease ))', query time: 5.62s Refine Results
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    DataSheet_1_Changes in Urologic Operative Practice at the Beginning of the COVID-19 Pandemic in a Large, National Cohort.docx by Patrick Lewicki (10761807)

    Published 2021
    “…Urologic oncology-related cases were relatively preserved as compared to others (average change in March 2020: +1.1% versus -32.2%). Northeastern (β = -5.66, 95% confidence interval [CI]: -10.2 to -1.18, p = 0.013) and Midwestern hospitals (β = -4.17, 95% CI: -7.89 to -0.45, p = 0.027; both with South as reference region), and those with an increasing percentage of patients insured by Medicaid (β= -0.17 per percentage point, 95% CI: -0.33 to -0.01, p = 0.04) experienced a significantly larger decrease in volume.…”
  3. 143

    Data_Sheet_1_Impact of recommissioning flushing on Legionella pneumophila in a large building during the COVID-19 pandemic.pdf by Marianne Grimard-Conea (13951710)

    Published 2022
    “…However, after a period of 1 month without water use, these benefits were mostly lost with considerable rebounds of concentrations to similar levels than those measured following the 16-week building closure. …”
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    Table_1_Prevalence of myopia: A large-scale population-based study among children and adolescents in weifang, china.pdf by Jie Zhang (64655)

    Published 2022
    “…Purpose<p>This study aimed to determine the prevalence of myopia among school-aged children and adolescents at the whole city level of Weifang, China.</p>Methods<p>This study was a large scale school-based cross-sectional study among children and adolescents aged 5–20 years old. …”
  9. 149

    AUC-ROC and AUPR values of different methods. by Shayan Majidifar (19541065)

    Published 2024
    “…<p>The x-axis displays P-to-N sampling ratios while the y-axis represents AUC-ROC and AUPR values for the left and right plots. …”
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    Restoring large-scale brain networks in PTSD and related disorders: a proposal for neuroscientifically-informed treatment interventions by Ruth A. Lanius (3121746)

    Published 2023
    “…<p>Three intrinsic connectivity networks in the brain, namely the central executive, salience, and default mode networks, have been identified as crucial to the understanding of higher cognitive functioning, and the functioning of these networks has been suggested to be impaired in psychopathology, including posttraumatic stress disorder (PTSD).</p> <p>1) To describe three main large-scale networks of the human brain; 2) to discuss the functioning of these neural networks in PTSD and related symptoms; and 3) to offer hypotheses for neuroscientifically-informed interventions based on treating the abnormalities observed in these neural networks in PTSD and related disorders.…”
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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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    Data_Sheet_1_Predictors of sequence capture in a large-scale anchored phylogenomics project.PDF by Renato Nunes (5704595)

    Published 2022
    “…We investigated the impacts of specimen age, preservation method, and DNA concentration on sequence capture (number of captured sequences and sequence quality) while accounting for taxonomy and extracted tissue type in a large-scale butterfly phylogenomics project. …”
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