Results 151 to 160 of about 114,173,479 (279)
A systematic review of medical information evaluation approach for P2P analysis in blockchain
During the last several years, blockchain has generated a substantial amount of interest in the field of healthcare. It can mitigate a broad range of significant challenges that are present in the systems that manage electronic health records.
Yogesh Kushwaha +2 more
doaj +1 more source
ABSTRACT In today's volatile, uncertain, complex, and ambiguous (VUCA) business environment, organizations face mounting pressure to develop agile and resilient supply chains capable of withstanding increasingly frequent disruptions. At the same time, sustainability has evolved into a strategic necessity, requiring firms to balance competitiveness with
Arsalan Zahid Piprani +4 more
wiley +1 more source
Improving the data access control using blockchain for healthcare domain. [PDF]
Tahir Yinka O +3 more
europepmc +1 more source
Essays in Blockchain Economics
This dissertation consists of three essays (chapters) concerning blockchain economics. Chapter 1 is a study of a decentralized lending platform. Decentralized Financial (DeFi) lending applications allow users to take leveraged positions in risky ...
Mueller, Peter
core
What entrepreneurial decisions enable the breeding of digital platform unicorns?
Abstract Research Summary Digital platforms have revolutionized business sectors; however, despite their significant success, platform unicorns remain rare. While extensive research exists on digital platform growth, it is uncertain what entrepreneurial decisions achieve unicorn status.
Sea Matilda Bez +3 more
wiley +1 more source
Blockchain-based secured data sharing in healthcare: A systematic literature review
Blockchain technology is increasingly recognised for its potential to enhance the security, reliability, and resilience of distributed systems. By ensuring data integrity and protecting against unauthorised access, blockchain creates immutable and ...
Steven Gordon (9799250) +6 more
core
Quantum Machine Learning for Cybersecurity: A Taxonomy and Future Directions
ABSTRACT Context The rapid increase in cyber threats, coupled with increasingly sophisticated attack strategies and the exponential growth of data in recent years, has exposed significant limitations in classical machine learning, rule‐based, and signature‐based defense mechanisms.
Siva Sai +5 more
wiley +1 more source
Abstract Internet of Medical Things (IoMT) has typical advancements in the healthcare sector with rapid potential proof for decentralised communication systems that have been applied for collecting and monitoring COVID‐19 patient data. Machine Learning algorithms typically use the risk score of each patient based on risk factors, which could help ...
Chandramohan Dhasaratha +9 more
wiley +1 more source
A secured cloud‐medical data sharing with A‐BRSA and Salp ‐Ant Lion Optimisation Algorithm
Abstract Sharing medical data among healthcare providers, researchers, and patients is crucial for efficient healthcare services. Cloud‐assisted smart healthcare (s‐healthcare) systems have made it easier to store EHRs effectively. However, the traditional encryption algorithms used to secure this data can be vulnerable to attacks if the encryption key
Adel Binbusayyis +7 more
wiley +1 more source
Abstract Graph neural networks (GNNs) have revolutionised the processing of information by facilitating the transmission of messages between graph nodes. Graph neural networks operate on graph‐structured data, which makes them suitable for a wide variety of computer vision problems, such as link prediction, node classification, and graph classification.
Amit Sharma +4 more
wiley +1 more source

