Search alternatives:
significantly predicted » significantly reduced (Expand Search), significantly reduce (Expand Search), significant predictor (Expand Search)
predicted decrease » predicted secreted (Expand Search), reported decrease (Expand Search)
higher decrease » higher degrees (Expand Search), highest increase (Expand Search)
higher degree » high degree (Expand Search)
significantly predicted » significantly reduced (Expand Search), significantly reduce (Expand Search), significant predictor (Expand Search)
predicted decrease » predicted secreted (Expand Search), reported decrease (Expand Search)
higher decrease » higher degrees (Expand Search), highest increase (Expand Search)
higher degree » high degree (Expand Search)
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Baseline characteristics and potential independent risk factors for mortality of SFTS.
Published 2025Subjects: -
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Kinetics of coagulation parameters between the survivors and non-survivors during hospitalization.
Published 2025Subjects: -
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Restricted cubic spline models depicting the relationship between APTT and mortality risk in SFTS.
Published 2025Subjects: -
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Kaplan-Meier survival analysis curves according to the APTT levels between four groups.
Published 2025Subjects: -
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Dynamic profile of coagulation parameters between survivors and non-survivors in patients with SFTS.
Published 2025Subjects: -
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Multivariate logistic regression analysis on the risk factors associated with prolonged APTT.
Published 2025Subjects: -
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Characteristics and outcomes of participants categorized by serum APTT on admission.
Published 2025Subjects: -
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SARIMA predicts season components.
Published 2025“…<div><p>This study constructs a multi-stage hybrid forecasting model using hog price time series data and its influencing factors to improve prediction accuracy. First, seven benchmark models including Prophet, ARIMA, and LSTM were applied to raw price series, where results demonstrated that deep learning models significantly outperformed traditional methods. …”
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