{"title":"在智慧城市的情况下,使用随机森林保护医疗数据的隐私","authors":"Sunil Kumar, A. Devi","doi":"10.1109/PIECON56912.2023.10085763","DOIUrl":null,"url":null,"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","PeriodicalId":182428,"journal":{"name":"2023 International Conference on Power, Instrumentation, Energy and Control (PIECON)","volume":"144 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2023-02-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Privacy Preservation Using Random Forest For Healthcare Data In Case Of Smart Cities\",\"authors\":\"Sunil Kumar, A. Devi\",\"doi\":\"10.1109/PIECON56912.2023.10085763\",\"DOIUrl\":null,\"url\":null,\"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\",\"PeriodicalId\":182428,\"journal\":{\"name\":\"2023 International Conference on Power, Instrumentation, Energy and Control (PIECON)\",\"volume\":\"144 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2023-02-10\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2023 International Conference on Power, Instrumentation, Energy and Control (PIECON)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/PIECON56912.2023.10085763\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2023 International Conference on Power, Instrumentation, Energy and Control (PIECON)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/PIECON56912.2023.10085763","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
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