Background 'Big data'has great potential to help address the global health challenge of
obesity. However, lack of clarity with regard to the definition of big data and frameworks for …

There has been growing interest in the potential of 'big data'to enhance our understanding in
medicine and public health. Although there is no agreed definition of big data, accepted …

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 …

Background Obesity is a leading cause of preventable death worldwide. Artificial
intelligence (AI), characterized by machine learning (ML) and deep learning (DL), has …

The term Big Data is commonly used to describe a range of different concepts: from the
collection and aggregation of vast amounts of data, to a plethora of advanced digital …

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 …

The evolution of big data as a research and scientific topic: Overview of the literature Page 1
Research Trends Volume 1 Issue 30 Article 2 9-1-2012 The evolution of big data as a research …

Most people are now familiar with the concepts of big data, deep learning, machine learning,
and artificial intelligence (AI) and have a vague expectation that AI using medical big data …

Precision public health is an emerging practice to more granularly predict and understand
public health risks and customize treatments for more specific and homogeneous …

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 …