Showing 81 - 100 results of 80,308 for search '(((( auc values decrease ) OR ( a rate increased ))) OR ( ((i large) OR (a large)) decrease ))*', query time: 2.35s Refine Results
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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
    “…Myopia was defined as an SE refraction of ≤-0.75 diopters (D) and graded into low myopia (−0.75 to −3.00 D), moderate myopia (−3.01 to −5.99 D), and high myopia (≤-6.00 D).</p>Results<p>A total of 1,059,838 participants were eligible for this survey and 1,013,206 (95.6% participation rate) were selected through data quality control, which comprised 17 districts/counties and 1,254 schools, including 861 elementary schools, 313 middle schools, and 80 high schools. …”
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    DataSheet1_Adverse childhood experiences, brain function, and psychiatric diagnoses in a large adult clinical cohort.pdf by David B. Keator (19842939)

    Published 2024
    “…However, no study has explored these associations in a large clinical population to identify brain regions that may mediate the relationship between ACEs and psychiatric diagnoses. …”
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    Model projections for the annual reproduction number assuming a risk distribution with variance 10 in Vietnam and Nepal for crossing the transmission threshold R<sub>0</sub> = 1. by Diepreye Victoria Ayabina (11719488)

    Published 2021
    “…From 2017, the trajectories split to represent three different scenarios: rates of parameter change are maintained (grey), τ increases according to the increase in case notification in district level (2017:2020), scaled up to country level in 2020 and maintained at this level thereafter (red), a constant rate of increase in τ to reduce R<sub>0</sub> to 1 by 2035 (blue). …”
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    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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