Privacy Preservation Using Random Forest For Healthcare Data In Case Of Smart Cities

Sunil Kumar, A. Devi
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Abstract

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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在智慧城市的情况下,使用随机森林保护医疗数据的隐私
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
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