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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...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer International Publishing
2018
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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. |
format | Online Article Text |
id | pubmed-5999136 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | Springer International Publishing |
record_format | MEDLINE/PubMed |
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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