Back to Search Start Over

Big Data Defined: A Practical Review for Neurosurgeons

Authors :
Ryan S. Kitagawa
Clemens M. Schirmer
Lola B. Chambless
Jason M Davies
Nader Pouratian
Mohamad Bydon
Ashwini Sharan
Eric K. Oermann
Source :
World Neurosurgery. 133:e842-e849
Publication Year :
2020
Publisher :
Elsevier BV, 2020.

Abstract

Background Modern science and healthcare generate vast amounts of data, and, coupled with the increasingly inexpensive and accessible computing, a tremendous opportunity exists to use these data to improve care. A better understanding of data science and its relationship to neurosurgical practice will be increasingly important as we transition into this modern “big data” era. Methods A review of the literature was performed for key articles referencing big data for neurosurgical care or related topics. Results In the present report, we first defined the nature and scope of data science from a technical perspective. We then discussed its relationship to the modern neurosurgical practice, highlighting key references, which might form a useful introductory reading list. Conclusions Numerous challenges exist going forward; however, organized neurosurgery has an important role in fostering and facilitating these efforts to merge data science with neurosurgical practice.

Details

ISSN :
18788750
Volume :
133
Database :
OpenAIRE
Journal :
World Neurosurgery
Accession number :
edsair.doi.dedup.....4ebcefdc3d173d9ff7c928dceddfd005
Full Text :
https://doi.org/10.1016/j.wneu.2019.09.092