Big Data defined: a practical review for neurosurgeons.

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ID: 53745
2019
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Abstract
Modern science and healthcare generate vast amounts of data, and coupled with increasingly cheap and accessible computing, there is a tremendous opportunity 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. We first define the nature and scope of data science from a technical perspective. We then discuss its relationship to the modern neurosurgical practice, highlighting key references which may form a useful introductory reading list. We conclude with a discussion of challenges going forward, and the role of organized neurosurgery in the broader effort to merge data science with neurosurgical practice.
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bydon2019bigworld Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors Bydon, Mohamad;Schirmer, Clemens M;Oermann, Eric K;Kitagawa, Ryan S;Pouratian, Nader;Davies, Jason;Sharan, Ashwini;Chambless, Lola B;
Journal world neurosurgery
Year 2019
DOI S1878-8750(19)32522-7
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Keywords
natural language processing emr electronic medical record hipaa nlp health information portability and accountability act

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