Blockchain-Based Data Preservation System for Medical Data

By Hongyu Li, Liehuang Zhu, Meng Shen, Feng Gao, Xiaoling Tao, Sheng Liu. Journal of medical systems, 2018

300 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Information Systems

View Paper: https://www.semanticscholar.org/paper/4d7eb342bcfa7d143354d6c680235dbea04d9240

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Artificial Intelligence

1. J. Mikael Eklund
2. Xiaojiang Du
3. Mohsen Guizani
4. Meng Shen
5. Liehuang Zhu
6. Qusay H. Mahmoud
7. Mohsen Attaran
8. Xiangyun Tang

In Information Systems

1. J. Mikael Eklund
2. Xiaojiang Du
3. Mohsen Guizani
4. Liehuang Zhu
5. Qusay H. Mahmoud
6. Mohsen Attaran
7. Cornelius Chidubem Agbo

Citations in the corpus

• Blockchain in healthcare and health sciences - A scoping review (2019, methodology): “Data integrity was enhanced by storing hashed medical data or hash pointer on chain [49,41,38].”
• Blockchain Technology in Healthcare: A Systematic Review (2019, methodology): “…Journal [27] Cognitive Systems Research [28] International Conference on Intelligent Sustainable Systems (ICISS) [29] Journal of medical systems [30,46,49,57,58,64,70,75,78,83] Expert Opinion on Drug Safety [31] IEEE Access [32,50,68,77] International Workshop on Emerging Technologies for…”
• Blockchain technology in healthcare: Challenges and opportunities (2020, background): “The orig-inality of the data can be veri fi ed if tampering is suspected [28].”
• Privacy-Preserving Support Vector Machine Training Over Blockchain-Based Encrypted IoT Data in Smart Cities (2019, background): “designed to allow the sharing of tamper-proof records among multiple parties [9].”