Using machine learning for outcome prediction of patients with severe head injury

I. Pilih, D. Mladenić, N. Lavrač, T. Prevec
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引用次数: 6

Abstract

The paper presents an application of decision tree induction to the problem of the prediction of outcome after a severe head injury. The study shows that induced decision trees are useful for the analysis of the importance of clinical parameters and of their combinations for the evaluation of the severity of brain injury and for outcome prediction.
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用机器学习预测严重颅脑损伤患者的预后
本文提出了决策树归纳法在重型颅脑损伤预后预测问题中的应用。研究表明,诱导决策树可用于分析临床参数及其组合对脑损伤严重程度评估和预后预测的重要性。
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