Addressing minority health and health disparities has been a missing piece of the puzzle in
Big Data science. This article focuses on three priority opportunities that Big Data science …

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 …

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 …

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 …

Background Although the potential of big data analytics for health care is well recognized,
evidence is lacking on its effects on public health. Objective The aim of this study was to …

This paper provides an overview of recent developments in big data in the context of
biomedical and health informatics. It outlines the key characteristics of big data and how …

Recent advances in the collection and processing of health data from multiple sources at
scale—known as big data—have become appealing across public health domains …

And yet, the ways in which health technology innovators have talked about the power of data
neglects key aspects of the social interoperability or integration of data into health solutions …

The integration of big data analytics in healthcare has ushered in a transformative era,
redefining the landscape of patient care and treatment strategies. This review examines the …

The introduction and use of 'big data and analytics' is an on-going issue of discussion in
health sectors globally. Healthcare systems of developed countries are trying to create more …