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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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Detalles Bibliográficos
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
Descripción
Sumario: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.