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 …

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 …

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Although the terminology of Big Data has so far gained little traction in economics, the
availability of unprecedentedly rich datasets and the need for new approaches–both …

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 …

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 …

Modern health information systems can generate several exabytes of patient data, the so
called 'health big data', per year. Many health managers and experts believe that with the …

Although Big Data is a trending buzzword in both academia and the industry, its meaning is
still shrouded by much conceptual vagueness. The term is used to describe a wide range of …

Identification, assessment, and management of overweight and obesity: summary of updated NICE
guidance Page 1 GUIDELINES Identification, assessment, and management of overweight and …

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 …