The privacy-preserving data publishing in medical application: A survey

Chieh Lin Chuang, Pang Chieh Wang, Ming-Shi Wang, Chin Feng Lai

研究成果: Conference contribution

摘要

As the time goes by and the development of science and technology, medical issues are becoming part of everyone’s life. People are paying much more attention to their own rights. When people transfer from one hospital to another for treatment, they may need to repeat multiple examinations, resulting unnecessary expenses and waste of medical resources. The Ministry of Health and Welfare promotes a system that uploads all patients’ medical files to an online database allowing them to check their own medical information and share it also, but it probably makes some privacy problem. In this paper, we found several methods that might be useful for image encryption, including, privacy-preserving data publishing (PPDP), scale invariant feature transform (SIFT), convolutional neural network (CNN), explored their algorithms and compare their strengths and weaknesses in the field of medical imaging encryption. Hoping to find a method for people to use the system without doubt.

原文English
主出版物標題Cognitive Cities - 2nd International Conference, IC3 2019, Revised Selected Papers
編輯Jian Shen, Yao-Chung Chang, Yu-Sheng Su, Hiroaki Ogata
發行者Springer
頁面438-447
頁數10
ISBN(列印)9789811561122
DOIs
出版狀態Published - 2020
事件2nd International Cognitive Cities Conference, IC3 2019 - Kyoto, Japan
持續時間: 2019 九月 32019 九月 6

出版系列

名字Communications in Computer and Information Science
1227 CCIS
ISSN(列印)1865-0929
ISSN(電子)1865-0937

Conference

Conference2nd International Cognitive Cities Conference, IC3 2019
國家/地區Japan
城市Kyoto
期間19-09-0319-09-06

All Science Journal Classification (ASJC) codes

  • 電腦科學(全部)
  • 數學(全部)

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