HealthcareHiveSpark and ScalaBig data is a declaration used to recognize the database whose area is afar the potential of typical database software tools to store, organize and examine. Big data has shown a new path toward the mankind. With several theoretical and technological obstacles in ...
In order to explore the development of healthcare in China and the privacy and security risk factors in medical data under the background of big data, the development status of China’s healthcare sector is analyzed. The questionnaire is used to analyze the privacy and security risk factors of...
Healthcare Analytics is a term used to describe the healthcare analysis activities that can be undertaken as a result of data collected from areas within healthcare that includes claims and cost data, pharmaceutical, research and development (R&D) data, clinical data (collected from electronic medic...
investigator of Brain Organization Research Group Lab at Children's Hospital here, told Xinhua that "Siloing is a problem in the healthcare space due to privacy rules -- for good reason. So, in medical imaging we have very limited data sets. That's a big obstacle to using AI effectively...
Analysis of healthcare big data Future Gener. Comput. Syst. (2020) SchmidtS.et al. Fuzzy trust evaluation and credibility development in multi-agent systems Appl. Soft Comput. (2007) KimY.A.et al. A trust prediction framework in rating-based experience sharing social networks without a web ...
There are comments on PubPeer for publication: Healthcare Analysis in Smart Big Data Analytics: Reviews, Challenges and Recommendations (2019)
data exploration methodologies capable of facing Big Data's influence to make remote monitoring services viable has been raised by the growing ties of networks that deliver high quantities of real-time data.This paper presents an interactive healthcare data exploration and visualization(IHDEV)model to...
The rising prevalence of harassment in Middle Eastern countries is mirrored in literary works from the region. However, extracting data from these texts to understand the typology and frequency of the cases poses a significant challenge due to human cogn
Healthcare 4.0 implementation: opportunities and challenges in the healthcare sector Healthcare 4.0 is the application of Industry 4.0 principles in healthcare, enabling real-time personalization of patient care. Although it has gained rele... EDS Correa,WC Satyro,LFD Silva,... - 《Peer Review》...
• Actionable analytics put data in context • Data storytelling is the new language of business • Enterprises get smarter about analytics adoption • Governed data curation bridges the gap between data and business Get the 2019 Trends How Leading Healthcare Enterprises Drive Better Outcomes ...