Big Data Defined: A Practical Review for Neurosurgeons

被引:16
作者
Bydon, Mohamad [1 ]
Schirmer, Clemens M. [2 ]
Oermann, Eric K. [3 ]
Kitagawa, Ryan S. [4 ]
Pouratian, Nader [5 ]
Davies, Jason [6 ]
Sharan, Ashwini [7 ]
Chambless, Lola B. [8 ]
机构
[1] Mayo Clin, Dept Neurosurg, Rochester, MN USA
[2] Geisinger Hlth Syst, Dept Neurosurg, Wilkes Barre, PA USA
[3] Mt Sinai Hlth Syst, Dept Neurosurg, New York, NY USA
[4] Univ Texas Hlth Sci Ctr Houston, Dept Neurosurg, Houston, TX 77030 USA
[5] Univ Calif Los Angeles, Med Ctr, Dept Neurosurg, Los Angeles, CA 90024 USA
[6] SUNY Buffalo, Dept Neurosurg, Buffalo, NY USA
[7] Thomas Jefferson Univ Hosp, Dept Neurosurg, Philadelphia, PA 19107 USA
[8] Vanderbilt Univ Sch Med, Dept Neurosurg, Nashville, TN 37212 USA
关键词
Clinical practice; Data science; Machine learning; Registry; BRAIN-TUMORS; QUALITY; EPIDEMIOLOGY; CRANIOTOMY; MORTALITY; OUTCOMES; FAILURE; RECORDS; HEART; CARE;
D O I
10.1016/j.wneu.2019.09.092
中图分类号
R74 [神经病学与精神病学];
学科分类号
摘要
BACKGROUND: Modern science and healthcare aerate 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 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 for.rd; however, organized neurosurgery has an important role in fostering and facilitating these efforts to merge data science with neurosurgical practice.
引用
收藏
页码:E842 / E849
页数:8
相关论文
共 46 条
[1]  
[Anonymous], WSJ ONLINE 0904
[2]  
[Anonymous], FINANCIAL ANALYSTS J
[3]  
[Anonymous], 3VS DEFINE BIG DATA
[4]  
[Anonymous], BIG DATA SPECIAL SAL
[5]  
[Anonymous], NEUR ALL QUAL OUTC
[6]   The National Neurosurgery Quality and Outcomes Database (N2QOD) A Collaborative North American Outcomes Registry to Advance Value-Based Spine Care [J].
Asher, Anthony L. ;
Speroff, Ted ;
Dittus, Robert S. ;
Parker, Scott L. ;
Davies, Jason M. ;
Selden, Nathan ;
Nian, Hui ;
Glassman, Steven ;
Mummaneni, Praveen ;
Shaffrey, Christopher ;
Watridge, Clarence ;
Cheng, Joseph S. ;
McGirt, Mathew J. .
SPINE, 2014, 39 (22S) :S106-S116
[7]   The genomic CDS sandbox: An assessment among domain experts [J].
Aziz, Ayesha ;
Kawamoto, Kensaku ;
Eilbeck, Karen ;
Williams, Marc S. ;
Freimuth, Robert R. ;
Hoffman, Mark A. ;
Rasmussen, Luke V. ;
Overby, Casey L. ;
Shirts, Brian H. ;
Hoffman, James M. ;
Welch, Brandon M. .
JOURNAL OF BIOMEDICAL INFORMATICS, 2016, 60 :84-94
[8]   Craniotomy for the resection of metastatic brain tumors in the US, 1988-2000 - Decreasing mortality and the effect of provider caseload [J].
Barker, FG .
CANCER, 2004, 100 (05) :999-1007
[9]   Application-controlled demand paging for out-of-core visualization [J].
Cox, M ;
Ellsworth, D .
VISUALIZATION '97 - PROCEEDINGS, 1997, :235-+
[10]   Unplanned Reoperation After Craniotomy for Tumor: A National Surgical Quality Improvement Program Analysis [J].
Dasenbrock, Hormuzdiyar H. ;
Yan, Sandra C. ;
Chavakula, Vamsi ;
Gormley, William B. ;
Smith, Timothy R. ;
Claus, Elizabeth B. ;
Dunn, Ian F. .
NEUROSURGERY, 2017, 81 (05) :761-771