Importantly, several variables that did not reach statistical significance in univariate analysis nevertheless contributed substantially to overall model performance, highlighting the importance of complex, multidimensional interactions among clinical factors.
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Development of a machine learning-based sepsis prediction model for real-world clinical settings in South Korea: a single-center retrospective study.
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