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人工智能应用于开发内动脉瘤预测稳定性模型

Junmin Tao1,2, Wei Wei2,3, Meiying Song1

  • 1Department of Epidemiology, School of Public Health, Dalian Medical University, No. 9, West Section of Lvshun South Road, Lvshunkou District, Dalian, Liaoning Province, China.

European journal of medical research
|October 18, 2024
PubMed
概括

机器学习模型准确地预测了内动脉瘤 (IA) 破裂风险. 年龄,白细胞计数 (WBC) 和尿酸 (UA) 是IA稳定的关键预测因素.

关键词:
人工智能的人工智能是人工智能.内动脉瘤 内动脉瘤机器学习 机器学习风险预测风险预测

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