Objective. The aim of this study was to provide a definition of big data in healthcare.
Methods. A systematic search of PubMed literature published until May 9, 2014, was …

Big data analytics is a growth area with the potential to provide useful insight in healthcare.
Whilst many dimensions of big data still present issues in its use and adoption, such as …

Universally, the volume of data has increased, with the collection rate doubling every 40
months, since the 1980s.“Big data” is a term that was introduced in the 1990s to include data …

Objectives: To summarise current research that takes advantage of “Big Data” in health and
biomedical informatics applications. Methods: Survey of trends in this work, and exploration …

Abstract The concept of Big Data is popular in a variety of domains. The purpose of this
review was to summarize the features, applications, analysis approaches, and challenges of …

Over the past decade, data recorded (due to digitization) in healthcare sectors have
continued to increase, intriguing the thought about big data in healthcare. There already …

Big data are receiving an increasing attention in biomedicine and healthcare. It is therefore
important to understand the reason why big data are assuming a crucial role for the …

Objectives: This survey explores the role of big data and health analytics developed by IBM
in supporting the transformation of healthcare by augmenting evidence-based decision …

In recent years, the healthcare field welcomed an emerging field of practices captured under
the umbrella term 'Big Data'. This term is surrounded with positive rhetoric and promises …

Objectives: To identify common methodological challenges and review relevant initiatives
related to the re-use of patient data collected in routine clinical care, as well as to analyze …