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用可靠和可解释的人工智能系统预测急性心肌梗塞的预后

Minwook Kim1, Donggil Kang1, Min Sun Kim2

  • 1School of Computer Science and Engineering, Pusan National University, Busan 46421, Republic of Korea.

Journal of the American Medical Informatics Association : JAMIA
|May 28, 2024
PubMed
概括

这项研究介绍了RIAS,一种用于预测急性心肌梗塞 (AMI) 后死亡率的AI系统. RIAS提供可靠,可解释的预测和"如果"情景,以帮助临床决策.

关键词:
剧烈的心肌梗塞急性心肌梗塞反事实性的解释.电子健康记录 (EHR) 是一种电子健康记录.可解释的人工智能 (XAI)可以解释的机器学习.

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