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Leveraging deep learning to understand health beliefs about the Human Papillomavirus Vaccine from social media
Our aim was to characterize health beliefs about the human papillomavirus (HPV) vaccine in a large set of Twitter posts (tweets). We collected a Twitter data set related to the HPV vaccine from 1 January 2014, to 31 December 2017. We proposed a deep-learning-based framework to mine health beliefs on...
Autores principales: | , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6550201/ https://www.ncbi.nlm.nih.gov/pubmed/31304374 http://dx.doi.org/10.1038/s41746-019-0102-4 |
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author | Du, Jingcheng Cunningham, Rachel M. Xiang, Yang Li, Fang Jia, Yuxi Boom, Julie A. Myneni, Sahiti Bian, Jiang Luo, Chongliang Chen, Yong Tao, Cui |
author_facet | Du, Jingcheng Cunningham, Rachel M. Xiang, Yang Li, Fang Jia, Yuxi Boom, Julie A. Myneni, Sahiti Bian, Jiang Luo, Chongliang Chen, Yong Tao, Cui |
author_sort | Du, Jingcheng |
collection | PubMed |
description | Our aim was to characterize health beliefs about the human papillomavirus (HPV) vaccine in a large set of Twitter posts (tweets). We collected a Twitter data set related to the HPV vaccine from 1 January 2014, to 31 December 2017. We proposed a deep-learning-based framework to mine health beliefs on the HPV vaccine from Twitter. Deep learning achieved high performance in terms of sensitivity, specificity, and accuracy. A retrospective analysis of health beliefs found that HPV vaccine beliefs may be evolving on Twitter. |
format | Online Article Text |
id | pubmed-6550201 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-65502012019-07-12 Leveraging deep learning to understand health beliefs about the Human Papillomavirus Vaccine from social media Du, Jingcheng Cunningham, Rachel M. Xiang, Yang Li, Fang Jia, Yuxi Boom, Julie A. Myneni, Sahiti Bian, Jiang Luo, Chongliang Chen, Yong Tao, Cui NPJ Digit Med Brief Communication Our aim was to characterize health beliefs about the human papillomavirus (HPV) vaccine in a large set of Twitter posts (tweets). We collected a Twitter data set related to the HPV vaccine from 1 January 2014, to 31 December 2017. We proposed a deep-learning-based framework to mine health beliefs on the HPV vaccine from Twitter. Deep learning achieved high performance in terms of sensitivity, specificity, and accuracy. A retrospective analysis of health beliefs found that HPV vaccine beliefs may be evolving on Twitter. Nature Publishing Group UK 2019-04-15 /pmc/articles/PMC6550201/ /pubmed/31304374 http://dx.doi.org/10.1038/s41746-019-0102-4 Text en © The Author(s) 2019 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as 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. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/. |
spellingShingle | Brief Communication Du, Jingcheng Cunningham, Rachel M. Xiang, Yang Li, Fang Jia, Yuxi Boom, Julie A. Myneni, Sahiti Bian, Jiang Luo, Chongliang Chen, Yong Tao, Cui Leveraging deep learning to understand health beliefs about the Human Papillomavirus Vaccine from social media |
title | Leveraging deep learning to understand health beliefs about the Human Papillomavirus Vaccine from social media |
title_full | Leveraging deep learning to understand health beliefs about the Human Papillomavirus Vaccine from social media |
title_fullStr | Leveraging deep learning to understand health beliefs about the Human Papillomavirus Vaccine from social media |
title_full_unstemmed | Leveraging deep learning to understand health beliefs about the Human Papillomavirus Vaccine from social media |
title_short | Leveraging deep learning to understand health beliefs about the Human Papillomavirus Vaccine from social media |
title_sort | leveraging deep learning to understand health beliefs about the human papillomavirus vaccine from social media |
topic | Brief Communication |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6550201/ https://www.ncbi.nlm.nih.gov/pubmed/31304374 http://dx.doi.org/10.1038/s41746-019-0102-4 |
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