相关实验视频

Updated: Feb 1, 2026

Inducing Post-Traumatic Epilepsy in a Mouse Model of Repetitive Diffuse Traumatic Brain Injury
07:07

Inducing Post-Traumatic Epilepsy in a Mouse Model of Repetitive Diffuse Traumatic Brain Injury

Published on: February 10, 2020

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可解释的机器学习模型用于预测老年患者的创伤性脑损伤引起的凝血病:一个多中心队列研究

Ben Yang1, Ting Li1, Chunli Xue1

  • 1Department of Burn Surgery, Huizhou Municipal Central Hospital, Huizhou, 516001, Guangdong Province, PR China.

Neurosurgical review
|January 30, 2026
PubMed
概括

这项研究开发了一种可解释的机器学习模型,用于预测老年患者的创伤性脑损伤诱导的凝血病 (TBI-IC). 该TBI-IC指数准确地识别了有风险的个体,有助于早期干预和改善结果.

关键词:
老年患者的患者.机器学习方法的机器学习方法模型的解释性 模型的解释性预测模型的预测模型.创伤性脑损伤引起的凝血病.

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