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Updated: Jul 12, 2025

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使用人工智能实时预测急诊室高血糖危机患者的不良结果

Chin-Chuan Hsu1, Yuan Kao1,2, Chien-Chin Hsu1,3

  • 1Department of Emergency Medicine, Chi Mei Medical Center, 901 Zhonghua Road, Yongkang District, Tainan City, 710, Taiwan.

BMC endocrine disorders
|October 23, 2023
PubMed
概括

人工智能 (AI) 有效地预测高血糖危机的不良结果,优于传统得分. 这种AI模型与医院系统集成,有望在急诊室实时提供临床决策支持.

关键词:
负面的结果是不利的结果.人工智能的人工智能是人工智能.应急部门的紧急情况部门.过高血糖危机 过高血糖危机在重症监护病房的重症监护病房.机器学习是机器学习.死亡率 死亡率 死亡率多层感知器多层感知器败血症 这是一种败血症.

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