Routinely recorded health data have evolved from mere by-products of health care delivery
or billing into a powerful research tool for studying and improving patient care through …

Big Data has increasingly been promoted as a revolutionary development in the future of
science, including epidemiology. However, the definition and implications of Big Data for …

Big Data and precision medicine, two major contemporary challenges for epidemiology, are
critically examined from two different angles. In Part 1 Big Data collected for research …

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 …

For over a decade the term “Big data” has been used to describe the rapid increase in
volume, variety and velocity of information available, not just in medical research but in …

The use of data analytics across the entire healthcare value chain, from drug discovery and
development through epidemiology to informed clinical decision for patients or policy …

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 …

Big data, coupled with the use of advanced analytical approaches, such as artificial
intelligence (AI), have the potential to improve medical outcomes and population health …

Healthcare systems around the world are facing incredible challenges due to the ageing
population and the related disability, and the increasing use of technologies and citizen's …

The 21st century is an era of information technology and people faces information explosion
with large amount of data. The term big data has been defined in Wikepedia as: big data is …