The volume, velocity and variety of data is continuously rising. While many industry sectors are already applying big data analytics for various purposes, the use of big data in healthcare remains limited. A major reason for this development lies in the fragmented structure and conflicts of interests among the various stakeholders in the sector. To date, there is a lack of a comprehensive study that integrates insights from both practical and academic literature with expert knowledge to create a holistic picture of the main use cases, challenges and benefits of predictive and prescriptive analytics (PPA) in healthcare. To fill this gap, we investigated the role of PPA in healthcare from different stakeholder perspectives. We conducted a sys...
Abstract: This review article provides an overview of the current state of data mining applications ...
The benefits of big data analytics in the healthcare sector are assumed to be substantial, and early...
Applying predictive analytics on large datasets to predict future behaviour is common in finance and...
Big data have attracted significant attention in recent years, as their hidden potentials that can i...
ABSTRACT: A buzzword big data is used to recognize the datasets due to their large size and complexi...
Big Data Analytics (BDA) has garnered significant attention in both academia and industries, particu...
Predictive analytics and big data are emerging as important new tools for diagnosing and treating ...
Healthcare organizations accept information technology in a management system. A huge volume of data...
The growing healthcare industry is generating a large volume of useful data on patient demographics,...
This research explores how healthcare organizations are leveraging business analytics (BA) capabilit...
Healthcare is a vast and data rich industry. The administrative details stored into database hold a ...
With the widespread use of healthcare information systems commonly known as electronic health record...
Recently a rapid increase has been seen in the technology and health care became an unavoidable sect...
In this paper, we review the recent literature related to Big Data Analytics (BDA). We also discuss ...
The healthcare industry generates a high throughput of medical, clinical and omics data of varying c...
Abstract: This review article provides an overview of the current state of data mining applications ...
The benefits of big data analytics in the healthcare sector are assumed to be substantial, and early...
Applying predictive analytics on large datasets to predict future behaviour is common in finance and...
Big data have attracted significant attention in recent years, as their hidden potentials that can i...
ABSTRACT: A buzzword big data is used to recognize the datasets due to their large size and complexi...
Big Data Analytics (BDA) has garnered significant attention in both academia and industries, particu...
Predictive analytics and big data are emerging as important new tools for diagnosing and treating ...
Healthcare organizations accept information technology in a management system. A huge volume of data...
The growing healthcare industry is generating a large volume of useful data on patient demographics,...
This research explores how healthcare organizations are leveraging business analytics (BA) capabilit...
Healthcare is a vast and data rich industry. The administrative details stored into database hold a ...
With the widespread use of healthcare information systems commonly known as electronic health record...
Recently a rapid increase has been seen in the technology and health care became an unavoidable sect...
In this paper, we review the recent literature related to Big Data Analytics (BDA). We also discuss ...
The healthcare industry generates a high throughput of medical, clinical and omics data of varying c...
Abstract: This review article provides an overview of the current state of data mining applications ...
The benefits of big data analytics in the healthcare sector are assumed to be substantial, and early...
Applying predictive analytics on large datasets to predict future behaviour is common in finance and...