J Luo, M Wu, D Gopukumar… - Biomedical informatics …, 2016 - journals.sagepub.com
Big data technologies are increasingly used for biomedical and health-care informatics research. Large amounts of biological and clinical data have been generated and collected …
The vast amount of data produced by today's medical imaging systems has led medical professionals to turn to novel technologies in order to efficiently handle their data and exploit …
S Guha, S Kumar - Production and Operations Management, 2018 - journals.sagepub.com
In this day, in the age of big data, consumers leave an easily traceable digital footprint whenever they visit a website online. Firms are interested in capturing the digital footprints of …
L Griebel, HU Prokosch, F Köpcke… - BMC medical informatics …, 2015 - Springer
Background Cloud computing is a recent and fast growing area of development in healthcare. Ubiquitous, on-demand access to virtually endless resources in combination …
MP McBee, C Wilcox - Journal of digital imaging, 2020 - Springer
Blockchain is an immutable, encrypted, distributed ledger technology. While initially devised for and most commonly referenced with cryptocurrencies, there are an increasing number of …
V Navale, PE Bourne - PLoS computational biology, 2018 - journals.plos.org
Biomedical research has become a digital data–intensive endeavor, relying on secure and scalable computing, storage, and network infrastructure, which has traditionally been …
JC Hsieh, AH Li, CC Yang - … journal of environmental research and public …, 2013 - mdpi.com
Many studies have indicated that computing technology can enable off-site cardiologists to read patients' electrocardiograph (ECG), echocardiography (ECHO), and relevant images …
Over the past century technology has played a decisive role in defining, driving, and reinventing procedures, devices, and pharmaceuticals in healthcare. Cloud computing has …
In recent times, security in cloud computing has become a significant part in healthcare services specifically in medical data storage and disease prediction. A large volume of data …