XGBoost Machine Learning Algorism Performed Better Than Regression Models in Predicting Mortality of Moderate-to-Severe Traumatic Brain Injury

World Neurosurgery(2022)

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摘要
Predicting mortality of moderate to severe TBI patients using XGBoost algorism is more effective and precise than logistic regression. The XGBoost prediction approach is beneficial for physicians to evaluate TBI patients at high risk of poor outcome.
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关键词
Extreme gradient boosting,Machine learning,Prognosis,Traumatic brain injury
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