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significant decrease » significant increase (Expand Search), significantly increased (Expand Search)
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significant decrease » significant increase (Expand Search), significantly increased (Expand Search)
significant factors » significant predictors (Expand Search)
factors decrease » factors increases (Expand Search)
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Sociodemographic characteristics of stroke patients followed for 12 months (n = 137).
Published 2024Subjects: -
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1785
Multivariable Gompertz AFT model for survival status and predictors among stroke patients (n = 137).
Published 2024Subjects: -
1786
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1787
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Results of RF algorithm screening factors.
Published 2024“…For instance, the RF-MLPR model achieved a 3.7%–6.5% improvement in the Nash-Sutcliffe efficiency (NSE) metric across four hydrological stations compared to the RF-SVR model. (4) Prediction accuracy decreased with longer forecast periods, with the R<sup>2</sup> value dropping from 0.8886 for a 1-month forecast to 0.6358 for a 12-month forecast, indicating the increasing challenge of long-term predictions due to greater uncertainty and the accumulation of influencing factors over time. (5) The RF-MLPR model outperformed the RF-SVR model, demonstrating a superior ability to capture the complex, nonlinear relationships inherent in the data. …”
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1789
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1793
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Socio-demographic and clinical characteristics of participants by study site.
Published 2025Subjects: -
1796
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1798
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1799
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1800