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Explainable artificial intelligence models using real-world electronic health record data: a systematic scoping review.
Journal of the American Medical Informatics Association ( IF 6.4 ) Pub Date : 2020-05-17 , DOI: 10.1093/jamia/ocaa053
Seyedeh Neelufar Payrovnaziri 1 , Zhaoyi Chen 2 , Pablo Rengifo-Moreno 3, 4 , Tim Miller 5 , Jiang Bian 2 , Jonathan H Chen 6, 7 , Xiuwen Liu 8 , Zhe He 1
Affiliation  

To conduct a systematic scoping review of explainable artificial intelligence (XAI) models that use real-world electronic health record data, categorize these techniques according to different biomedical applications, identify gaps of current studies, and suggest future research directions.

中文翻译:

使用现实世界电子健康记录数据的可解释人工智能模型:系统的范围界定审查。

为了对使用现实世界电子健康记录数据的可解释人工智能(XAI)模型进行系统的范围界定,根据不同的生物医学应用对这些技术进行分类,找出当前研究的空白,并提出未来的研究方向。
更新日期:2020-07-21
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