在智慧城市的情况下,使用随机森林保护医疗数据的隐私

Sunil Kumar, A. Devi
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引用次数: 0

摘要

世界各地的医疗保健行业正在经历一场可能被认为是典型的变革。由于患者数据和健康信息的数字化,临床、运营和财务模式以及全球范围的经济将发生巨大而深刻的变化。在本文中,机器学习被用作基础聚合器来改善智能城市中医疗保健用户的隐私
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Privacy Preservation Using Random Forest For Healthcare Data In Case Of Smart Cities
The healthcare sector all over the world is going through an amount of change that may be considered to be typical. There will be a large and profound shift in the clinical, operational, and financial paradigms, as well as in the economy on a worldwide scale, as a result of the digitization of patient data and health information. In this paper, ML is used as a base aggregator to improve the privacy of healthcare users in smart cities
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