Big data is defined as being large, varied or frequently updated, and usually generated from
real-world interaction. With the unprecedented availability of big data, comes an obligation …

Clinical medicine as well as basic biomedical research are huge generators of biomedical
data. In the United States, the healthcare system is expected to reach the zettabyte (1021) …

The red secTion 1225 diately applying it internally to allocate advertising or resources is
relatively straightforward. Applications in the medical environment, in which we are still …

Big data in health is a subject associated with many column inches and claims. It's closely
connected with other areas that are also close to the peak of the Gartner Hype Cycle …

Objectives: Although patients may have a wealth of imaging, genomic, monitoring, and
personal device data, it has yet to be fully integrated into clinical care. Methods: We identify …

Big data methodologies, made possible with the increasing generation and availability of
digital data and enhanced analytical capabilities, have produced new insights to improve …

The past decade has witnessed an explosion of electronic health data. Diagnostic images,
lab results, and biometric information are generated and stored in digital form. Key elements …

Big Data, which are characterized by certain unique traits like volume, velocity and value,
have revolutionized the research of multiple fields including medicine. Big Data in health …

Big Data and the Intelligence Community Health care is lagging behind other industries in its
approaches to data science, in part because it is relatively new to big data. By learning from …

Abstract Machine learning, a subset of artificial intelligence (AI), is a set of computational
tools that can be used to enhance provision of clinical care in all areas of medicine …