Big Data Defined: A Practical Review for Neurosurgeons.
Clinical practice
Data science
Machine learning
Registry
Journal
World neurosurgery
ISSN: 1878-8769
Titre abrégé: World Neurosurg
Pays: United States
ID NLM: 101528275
Informations de publication
Date de publication:
Jan 2020
Jan 2020
Historique:
received:
02
10
2018
revised:
16
09
2019
accepted:
17
09
2019
pubmed:
29
9
2019
medline:
29
1
2020
entrez:
29
9
2019
Statut:
ppublish
Résumé
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. A review of the literature was performed for key articles referencing big data for neurosurgical care or related topics. 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. 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.
Sections du résumé
BACKGROUND
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
METHODS
A review of the literature was performed for key articles referencing big data for neurosurgical care or related topics.
RESULTS
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
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.
Identifiants
pubmed: 31562965
pii: S1878-8750(19)32522-7
doi: 10.1016/j.wneu.2019.09.092
pii:
doi:
Types de publication
Journal Article
Review
Langues
eng
Sous-ensembles de citation
IM
Pagination
e842-e849Commentaires et corrections
Type : CommentIn
Type : CommentIn
Informations de copyright
Copyright © 2019 Elsevier Inc. All rights reserved.