Privacy on Medical Big Data

被引:0
作者
Hou, Chih-Chun [1 ]
Chang, Chun-Li [1 ]
Chuang, Feng-Chia [2 ]
Li, Bing [1 ]
Lai, Li-Yu [3 ]
机构
[1] Yulin Normal Univ, Yulin, Guangxi, Peoples R China
[2] Zhaoqing Univ, Coll Mech & Automot Engn, Zhaoqing, Guangdong, Peoples R China
[3] Chung Hsing Univ, Taichung, Taiwan
来源
PROCEEDINGS OF THE 2ND IEEE EURASIA CONFERENCE ON BIOMEDICAL ENGINEERING, HEALTHCARE AND SUSTAINABILITY 2020 (IEEE ECBIOS 2020): BIOMEDICAL ENGINEERING, HEALTHCARE AND SUSTAINABILITY | 2020年
关键词
personal data; artificial intelligence; medical industry;
D O I
暂无
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
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.
引用
收藏
页码:169 / 171
页数:3
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