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. 2018 Oct;164(4):640-642.
doi: 10.1016/j.surg.2018.06.022. Epub 2018 Jul 27.

Big data: More than big data sets

Adrienne N Cobb  1 , Andrew J Benjamin  2 , Erich S Huang  3 , Paul C Kuo  4
Affiliations

Big data: More than big data sets

Adrienne N Cobb et al. Surgery. 2018 Oct.

Abstract

The term big data has been popularized over the past decade and is often used to refer to data sets that are too large or complex to be analyzed by traditional means. Although the term has been utilized for some time in business and engineering, the concept of big data is relatively new to medicine. The reception from the medical community has been mixed; however, the widespread utilization of electronic health records in the United States, the creation of large clinical data sets and national registries that capture information on numerous vectors affecting healthcare delivery and patient outcomes, and the sequencing of the human genome are all opportunities to leverage big data. This review was inspired by a lively panel discussion on big data that took place at the 75th Central Surgical Association Annual Meeting. The authors' aim was to describe big data, the methodologies used to analyze big data, and their practical clinical application.

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References

    1. Churpek Matthew M., Yuen Trevor C., Winslow Christopher, Meltzer David O., Kattan Michael W., and Edelson Dana P.. 2016. “Multicenter Comparison of Machine Learning Methods and Conventional Regression for Predicting Clinical Deterioration on the Wards.” Critical Care Medicine 44 (2): 368–74. - PMC - PubMed
    1. Beam AL, Kohane IS. Big data and machine learning in health care. Jama. 2018. Apr 3; 319(13): 1317–8. - PubMed
    1. Deo RC. Machine learning in medicine. Circulation. 2015. Nov 17; 132(20): 1920–30. - PMC - PubMed
    1. Morra Jonathan H., Tu Zhuowen, Apostolova Liana G., Green Amity E., Toga Arthur W., and Thompson Paul M.. 2010. “Comparison of AdaBoost and Support Vector Machines for Detecting Alzheimer’s Disease through Automated Hippocampal Segmentation.” IEEE Transactions on Medical Imaging 29 (1). ieeexplore.ieee.org: 30–43. - PMC - PubMed
    1. Patel Savan. Machine Learning 101. Support Vector Machine. https://medium.com/machine-learning-101/chapter-2-svm-support-vector-machine-t... Accessed: May 29, 2018.