CAMPS: Efficient and privacy-preserving medical primary diagnosis over outsourced cloud

• Main Authors: HUA, Jianfeng, SHI, Guozhen, ZHU, Hui, WANG, Fengwei, LIU, Ximeng, LI, Hao
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2020
• Subjects: Medical primary diagnosis; Privacy-preserving; Skyline computation; Efficiency; Health Information Technology; Information Security
• Online Access: https://ink.library.smu.edu.sg/sis_research/5149; https://ink.library.smu.edu.sg/context/sis_research/article/6152/viewcontent/CAMPS_av.pdf
• Institution: Singapore Management University

With the flourishing of ubiquitous healthcare and cloud computing technologies, medical primary diagnosis system, which forms a critical capability to link big data analysis technologies with medical knowledge, has shown great potential in improving the quality of healthcare services. However, it st...