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大数据时代的癌症预防与行为理论进展

Advancing Cancer Prevention and Behavior Theory in the Era of Big Data.

作者信息

Atienza Audie A, Serrano Katrina J, Riley William T, Moser Richard P, Klein William M

机构信息

ICF, Rockville, MD, USA.

National Cancer Institute, Rockville, MD, USA.

出版信息

J Cancer Prev. 2016 Sep;21(3):201-206. doi: 10.15430/JCP.2016.21.3.201. Epub 2016 Sep 30.

DOI:10.15430/JCP.2016.21.3.201
PMID:27722147
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC5051595/
Abstract

The era of "Big Data" presents opportunities to substantively address cancer prevention and control issues by improving health behaviors and refining theoretical models designed to understand and intervene in those behaviors. Yet, the terms "model" and "Big Data" have been used rather loosely, and clarification of these terms is required to advance the science in this area. The objectives of this paper are to discuss conceptual definitions of the terms "model" and "Big Data", as well as examine the promises and challenges of Big Data to advance cancer prevention and control research using behavioral theories. Specific recommendations for harnessing Big Data for cancer prevention and control are offered.

摘要

“大数据”时代为通过改善健康行为和完善旨在理解及干预这些行为的理论模型,切实解决癌症预防与控制问题提供了机遇。然而,“模型”和“大数据”这两个术语的使用相当宽泛,需要对这些术语加以澄清,以推动该领域的科学发展。本文的目的是讨论“模型”和“大数据”这两个术语的概念定义,以及研究大数据在利用行为理论推进癌症预防与控制研究方面的前景和挑战。文中还提供了利用大数据进行癌症预防与控制的具体建议。

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本文引用的文献

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Mining Health App Data to Find More and Less Successful Weight Loss Subgroups.挖掘健康应用程序数据以找出减肥成效各异的亚组。
J Med Internet Res. 2016 Jun 14;18(6):e154. doi: 10.2196/jmir.5473.
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Continuous-Time System Identification of a Smoking Cessation Intervention.戒烟干预措施的连续时间系统识别
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Development of a smartphone application to measure physical activity using sensor-assisted self-report.利用传感器辅助自报告开发测量身体活动的智能手机应用程序。
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Using Twitter for breast cancer prevention: an analysis of breast cancer awareness month.利用推特进行乳腺癌预防:乳腺癌宣传月分析
BMC Cancer. 2013 Oct 29;13:508. doi: 10.1186/1471-2407-13-508.