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 …

The emergence of powerful software has created conditions and approaches for large
datasets to be collected and analyzed which has led to informed decision-making towards …

Background: Digital data sources have become ubiquitous in modern culture in the era of
digital technology but often tend to be under-researched because of restricted access to …

Abstract Background The application of Big Data analytics in healthcare has immense
potential for improving the quality of care, reducing waste and error, and reducing the cost of …

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 …

Data-driven science and its corollaries in machine learning and the wider field of artificial
intelligence have the potential to drive important changes in medicine. However, medicine is …

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 …

We draw on a substantial body of theoretical and empirical research on Internet of Medical
Things-based clinical decision support systems, smart health-care wearable devices, and …

Big data trends in biomedical and health research enable large-scale and multi-dimensional
aggregation and analysis of heterogeneous data sources, which could ultimately result in …

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 …