Chih-Chun Hou, Chun-Li Chang, Feng-Chia Chuang, Bing Li, L. Lai
{"title":"医疗大数据中的隐私问题","authors":"Chih-Chun Hou, Chun-Li Chang, Feng-Chia Chuang, Bing Li, L. Lai","doi":"10.1109/ECBIOS50299.2020.9203627","DOIUrl":null,"url":null,"abstract":"With the arrival of the artificial intelligence era, privacy disputes over the use of personal data derived from big data have appeared in greater numbers of instances. This paper explores the applications of artificial intelligence and big data to the medical industry, compares the differences in criteria and regulations for the identification of medical-use de-identified data between foreign and Taiwan practices, and further investigates the risks in using personal data, expecting that future legislation and practices in Taiwan provide better protection to the public for technology applications.","PeriodicalId":365765,"journal":{"name":"2020 IEEE 2nd Eurasia Conference on Biomedical Engineering, Healthcare and Sustainability (ECBIOS)","volume":"52 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Privacy on Medical Big Data\",\"authors\":\"Chih-Chun Hou, Chun-Li Chang, Feng-Chia Chuang, Bing Li, L. Lai\",\"doi\":\"10.1109/ECBIOS50299.2020.9203627\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"With the arrival of the artificial intelligence era, privacy disputes over the use of personal data derived from big data have appeared in greater numbers of instances. This paper explores the applications of artificial intelligence and big data to the medical industry, compares the differences in criteria and regulations for the identification of medical-use de-identified data between foreign and Taiwan practices, and further investigates the risks in using personal data, expecting that future legislation and practices in Taiwan provide better protection to the public for technology applications.\",\"PeriodicalId\":365765,\"journal\":{\"name\":\"2020 IEEE 2nd Eurasia Conference on Biomedical Engineering, Healthcare and Sustainability (ECBIOS)\",\"volume\":\"52 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2020-05-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2020 IEEE 2nd Eurasia Conference on Biomedical Engineering, Healthcare and Sustainability (ECBIOS)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ECBIOS50299.2020.9203627\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2020 IEEE 2nd Eurasia Conference on Biomedical Engineering, Healthcare and Sustainability (ECBIOS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ECBIOS50299.2020.9203627","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
With the arrival of the artificial intelligence era, privacy disputes over the use of personal data derived from big data have appeared in greater numbers of instances. This paper explores the applications of artificial intelligence and big data to the medical industry, compares the differences in criteria and regulations for the identification of medical-use de-identified data between foreign and Taiwan practices, and further investigates the risks in using personal data, expecting that future legislation and practices in Taiwan provide better protection to the public for technology applications.