基于医学图像的患者识别方法及其对患者隐私和开放医疗数据的影响

Laura Carolina Martínez Esmeral, A. Uhl
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引用次数: 1

摘要

在本文中,我们概述了从生物医学信号中识别人类受试者的技术,强调了考虑到公共医疗数据存储库对患者隐私的潜在威胁。在深入回顾了鲜为人知的方法后,我们得出结论,从医学图像数据中执行解纠缠和消除身份相关属性是解决此问题的潜在解决方案。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Patient identification methods based on medical imagery and their impact on patient privacy and open medical data
In this paper, we provide an overview of techniques for human subject identification from biomedical signals, highlighting the potential threat for patient privacy considering public repositories of medical data. After an in-depth review of lesser known approaches, we conclude that performing a disentanglement and elimination of the identity related attributes from the medical image data is a potential solution for this problem.
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