{"title":"医疗保健中发布数据的隐私保护数据挖掘:一项调查","authors":"Lina A. Abuwardih, Wa'ed Shatnawi, Ahmed Aleroud","doi":"10.1109/CSIT.2016.7549444","DOIUrl":null,"url":null,"abstract":"Healthcare data is considered very significant to researchers in this field. Such information must be published with methods that keep the identity of patients hidden especially when dealing with sensitive information. Publishing such information makes it more vulnerable to attackers. As such, many techniques were proposed to preserve the privacy of healthcare data. In this paper, we illustrated a survey for the models and techniques that are used for publishing data about patients.","PeriodicalId":210905,"journal":{"name":"2016 7th International Conference on Computer Science and Information Technology (CSIT)","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2016-07-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"6","resultStr":"{\"title\":\"Privacy preserving data mining on published data in healthcare: A survey\",\"authors\":\"Lina A. Abuwardih, Wa'ed Shatnawi, Ahmed Aleroud\",\"doi\":\"10.1109/CSIT.2016.7549444\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Healthcare data is considered very significant to researchers in this field. Such information must be published with methods that keep the identity of patients hidden especially when dealing with sensitive information. Publishing such information makes it more vulnerable to attackers. As such, many techniques were proposed to preserve the privacy of healthcare data. In this paper, we illustrated a survey for the models and techniques that are used for publishing data about patients.\",\"PeriodicalId\":210905,\"journal\":{\"name\":\"2016 7th International Conference on Computer Science and Information Technology (CSIT)\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2016-07-13\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"6\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2016 7th International Conference on Computer Science and Information Technology (CSIT)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/CSIT.2016.7549444\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2016 7th International Conference on Computer Science and Information Technology (CSIT)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CSIT.2016.7549444","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Privacy preserving data mining on published data in healthcare: A survey
Healthcare data is considered very significant to researchers in this field. Such information must be published with methods that keep the identity of patients hidden especially when dealing with sensitive information. Publishing such information makes it more vulnerable to attackers. As such, many techniques were proposed to preserve the privacy of healthcare data. In this paper, we illustrated a survey for the models and techniques that are used for publishing data about patients.