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Title	Privacy Preservation Using Random Forest For Healthcare Data In Case Of Smart Cities
ID_Doc	43114
Authors	Kumar S.; Devi A.J.
Year	2023
Published	2023 International Conference on Power, Instrumentation, Energy and Control, PIECON 2023
DOI	http://dx.doi.org/10.1109/PIECON56912.2023.10085763
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 © 2023 IEEE.
Author Keywords	Healthcare; Privacy Preservation; Random Forest; Smart City

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