Proportion of Feature Importance. حسب Chunliang Jiang (22477803)

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Identification results of four algorithms on test sets for different feature subsets. حسب Chunliang Jiang (22477803)

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Definitions of mortality prediction for patients with hypothermia. حسب Chunliang Jiang (22477803)

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Trends for average AUC for (A) different prediction window and (B) different observation window for each model. حسب Chunliang Jiang (22477803)

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Metrics used to evaluate the prediction performance. حسب Chunliang Jiang (22477803)

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Feature selection results for (A) Random Forest, (B) Logistic Regression, (C) XGBoost, and (D) Naïve Bayes. حسب Chunliang Jiang (22477803)

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Baseline characteristics of included patients. حسب Chunliang Jiang (22477803)

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Partitioning into training and testing sets. حسب Chunliang Jiang (22477803)

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Process for selection of the study cohort. حسب Chunliang Jiang (22477803)

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Appendix DATA: Patient dataset. حسب Chunliang Jiang (22477803)

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Trends in AUC values for different observation windows and prediction windows for (A) Random Forest, (B) Logistic Regression, (C) XGBoost, and (D) Naïve Bayes four machine learning... حسب Chunliang Jiang (22477803)

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Non-invasive physiological parameters included in the study. حسب Chunliang Jiang (22477803)

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Overall process of mortality prediction in patients with hypothermia. حسب Chunliang Jiang (22477803)

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