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Updated: May 7, 2025

A Machine Learning Approach to Design an Efficient Selective Screening of Mild Cognitive Impairment
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通过梯度增强决策树来调查导致撞车逃跑事故的因素

Baorui Han1, Haibo Huang1, Gen Li1

  • 1School of Automobile and Traffic Engineering, Nanjing Forestry University, Nanjing, Jiangsu, China.

PloS one
|January 3, 2025
PubMed
概括

本研究引入了一种渐变增强决策树 (GBDT) 模型,用于预测碰撞逃跑事故,其性能优于其他方法. 该模型确定了诸如碰撞类型,改善事故预防和安全分析等关键因素.

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