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

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 c...

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Autores principales: Atienza, Audie A., Serrano, Katrina J., Riley, William T., Moser, Richard P., Klein, William M.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Korean Society of Cancer Prevention 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5051595/
https://www.ncbi.nlm.nih.gov/pubmed/27722147
http://dx.doi.org/10.15430/JCP.2016.21.3.201
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author Atienza, Audie A.
Serrano, Katrina J.
Riley, William T.
Moser, Richard P.
Klein, William M.
author_facet Atienza, Audie A.
Serrano, Katrina J.
Riley, William T.
Moser, Richard P.
Klein, William M.
author_sort Atienza, Audie A.
collection PubMed
description 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.
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spelling pubmed-50515952016-10-07 Advancing Cancer Prevention and Behavior Theory in the Era of Big Data Atienza, Audie A. Serrano, Katrina J. Riley, William T. Moser, Richard P. Klein, William M. J Cancer Prev Short Communication 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. Korean Society of Cancer Prevention 2016-09 2016-09-30 /pmc/articles/PMC5051595/ /pubmed/27722147 http://dx.doi.org/10.15430/JCP.2016.21.3.201 Text en Copyright © 2016 Korean Society of Cancer Prevention This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/4.0) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Short Communication
Atienza, Audie A.
Serrano, Katrina J.
Riley, William T.
Moser, Richard P.
Klein, William M.
Advancing Cancer Prevention and Behavior Theory in the Era of Big Data
title Advancing Cancer Prevention and Behavior Theory in the Era of Big Data
title_full Advancing Cancer Prevention and Behavior Theory in the Era of Big Data
title_fullStr Advancing Cancer Prevention and Behavior Theory in the Era of Big Data
title_full_unstemmed Advancing Cancer Prevention and Behavior Theory in the Era of Big Data
title_short Advancing Cancer Prevention and Behavior Theory in the Era of Big Data
title_sort advancing cancer prevention and behavior theory in the era of big data
topic Short Communication
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5051595/
https://www.ncbi.nlm.nih.gov/pubmed/27722147
http://dx.doi.org/10.15430/JCP.2016.21.3.201
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