Big Data Analyses in Health and Opportunities for Research in Radiology

Yindalon Aphinyanaphongs

doi:10.1055/s-0036-1597255

Seminars in Musculoskeletal Radiology, Table of Contents

Semin Musculoskelet Radiol 2017; 21(01): 032-036
DOI: 10.1055/s-0036-1597255

Review Article

Thieme Medical Publishers 333 Seventh Avenue, New York, NY 10001, USA.

Big Data Analyses in Health and Opportunities for Research in Radiology

Yindalon Aphinyanaphongs

¹Healthcare Innovation and Delivery Science, New York University Langone Medical Center, New York, New York

› Author Affiliations

Abstract

This article reviews examples of big data analyses in health care with a focus on radiology. We review the defining characteristics of big data, the use of natural language processing, traditional and novel data sources, and large clinical data repositories available for research. This article aims to invoke novel research ideas through a combination of examples of analyses and domain knowledge.

Keywords

big data - radiology - natural language processing

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References

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