Showing 2,061 - 2,080 results of 18,313 for search 'significant ((((((teer decrease) OR (a decrease))) OR (greatest decrease))) OR (mean decrease))', query time: 0.70s Refine Results
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    Baseline characteristics. by Daniela Sánchez-Santiesteban (21192342)

    Published 2025
    “…Lower income levels are associated with decreased survival, potentially due to delays in diagnosis or treatment and a higher probability of advanced staging at diagnosis, These inequities persist even among relatively advantaged populations, such as formal employee who are assumed to have fewer barriers to accessing healthcare services compared to informal workers.…”
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    Example of sample data. by Xiying Wang (4859998)

    Published 2025
    “…The results reveal that as the number of nodes in the hidden layer increases, the model’s Mean Squared Error (MSE) and Relative Error (RE) show a decreasing trend, indicating an improvement in model prediction accuracy. …”
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    Structure of BPNN. by Xiying Wang (4859998)

    Published 2025
    “…The results reveal that as the number of nodes in the hidden layer increases, the model’s Mean Squared Error (MSE) and Relative Error (RE) show a decreasing trend, indicating an improvement in model prediction accuracy. …”
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    The workflow of EGA-BPNN. by Xiying Wang (4859998)

    Published 2025
    “…The results reveal that as the number of nodes in the hidden layer increases, the model’s Mean Squared Error (MSE) and Relative Error (RE) show a decreasing trend, indicating an improvement in model prediction accuracy. …”
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    S1 Data - by Xiying Wang (4859998)

    Published 2025
    “…The results reveal that as the number of nodes in the hidden layer increases, the model’s Mean Squared Error (MSE) and Relative Error (RE) show a decreasing trend, indicating an improvement in model prediction accuracy. …”
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    Algorithm flow of the GA-BPNN model. by Xiying Wang (4859998)

    Published 2025
    “…The results reveal that as the number of nodes in the hidden layer increases, the model’s Mean Squared Error (MSE) and Relative Error (RE) show a decreasing trend, indicating an improvement in model prediction accuracy. …”
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