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The Case for Computational Health Science

In this introductory paper, we begin by making the case for Computational Health Science, which we define as the interdisciplinary efforts of health scientists, computer scientists, engineers, psychologists, and other social scientists, to conduct innovative research that will inform future practice...

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Detalles Bibliográficos
Autores principales: Barnes, M., Hanson, C., Giraud-Carrier, C.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer International Publishing 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5999136/
https://www.ncbi.nlm.nih.gov/pubmed/29974076
http://dx.doi.org/10.1007/s41666-018-0024-y
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author Barnes, M.
Hanson, C.
Giraud-Carrier, C.
author_facet Barnes, M.
Hanson, C.
Giraud-Carrier, C.
author_sort Barnes, M.
collection PubMed
description In this introductory paper, we begin by making the case for Computational Health Science, which we define as the interdisciplinary efforts of health scientists, computer scientists, engineers, psychologists, and other social scientists, to conduct innovative research that will inform future practice directed at changing health behavior through improved communication, networking, and social capital. We recognize and discuss some of the main challenges involved with such an enterprise, but also highlight the associated benefits, which, we argue, significantly outweigh them. We then provide a brief summary of the contributions to this first Special Issue on Computational Health Science.
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spelling pubmed-59991362018-07-02 The Case for Computational Health Science Barnes, M. Hanson, C. Giraud-Carrier, C. J Healthc Inform Res Editorial In this introductory paper, we begin by making the case for Computational Health Science, which we define as the interdisciplinary efforts of health scientists, computer scientists, engineers, psychologists, and other social scientists, to conduct innovative research that will inform future practice directed at changing health behavior through improved communication, networking, and social capital. We recognize and discuss some of the main challenges involved with such an enterprise, but also highlight the associated benefits, which, we argue, significantly outweigh them. We then provide a brief summary of the contributions to this first Special Issue on Computational Health Science. Springer International Publishing 2018-05-30 /pmc/articles/PMC5999136/ /pubmed/29974076 http://dx.doi.org/10.1007/s41666-018-0024-y Text en © The Author(s) 2018 https://creativecommons.org/licenses/by/4.0/ Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) ), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.
spellingShingle Editorial
Barnes, M.
Hanson, C.
Giraud-Carrier, C.
The Case for Computational Health Science
title The Case for Computational Health Science
title_full The Case for Computational Health Science
title_fullStr The Case for Computational Health Science
title_full_unstemmed The Case for Computational Health Science
title_short The Case for Computational Health Science
title_sort case for computational health science
topic Editorial
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5999136/
https://www.ncbi.nlm.nih.gov/pubmed/29974076
http://dx.doi.org/10.1007/s41666-018-0024-y
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