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

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