Editorial & Opinion
Keynote Speaker II: Biomedical Engineering Research in the Social Network Analysis Era: Stance Classification for Analysis of Hoax Medical News in Social Media.
| العنوان: | Keynote Speaker II: Biomedical Engineering Research in the Social Network Analysis Era: Stance Classification for Analysis of Hoax Medical News in Social Media. |
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| المؤلفون: | Purnomo MH; Teknik Komputer, Fakultas Teknologi Elektro, Institut Teknologi Sepuluh Nopember, Surabaya, Indonesia., Sumpeno S; Teknik Komputer, Fakultas Teknologi Elektro, Institut Teknologi Sepuluh Nopember, Surabaya, Indonesia., Setiawan EI; Teknik Komputer, Fakultas Teknologi Elektro, Institut Teknologi Sepuluh Nopember, Surabaya, Indonesia.; Sekolah Tinggi Teknik Surabaya, Indonesia., Purwitasari D; Teknik Komputer, Fakultas Teknologi Elektro, Institut Teknologi Sepuluh Nopember, Surabaya, Indonesia.; Teknik Informatika, Fakultas Teknologi Informasi, Institut Teknologi Sepuluh Nopember, Surabaya, Indonesia. |
| المصدر: | Procedia computer science [Procedia Comput Sci] 2017; Vol. 116, pp. 3-9. Date of Electronic Publication: 2017 Oct 13. |
| نوع المنشور: | Editorial |
| اللغة: | English |
| بيانات الدورية: | Publisher: Elsevier Country of Publication: Netherlands NLM ID: 101537771 Publication Model: Print-Electronic Cited Medium: Print ISSN: 1877-0509 (Print) NLM ISO Abbreviation: Procedia Comput Sci Subsets: PubMed not MEDLINE |
| أسماء مطبوعة: | Original Publication: [Amsterdam] : Elsevier |
| مستخلص: | Biomedical engineering research trend can be healthcare models with unobtrusive smart systems for monitoring vital signs and physical activity. Detecting infant facial cry because of inability to communicate pain, recognizing facial emotion to understand dysfunction mechanisms through micro expression or transform captured human expression with motion device into three-dimensional objects are some of the applied systems. Nowadays, collaborated with biomedical research, mining and analyzing social network can improve public and private health care sectors as well such as research health news shared on social media about pharmaceutical drugs, pandemics, or viral outbreaks. Due to the vast amount of shared news, there is an urgency to select and filter information to prevent the spread of hoax or fake news. We explored in depth some steps to classify hoaxes written as news articles. This discussion also encourages on how technologies of social network analysis could be used to make new kinds improvement in health care sectors. Then close with a description of limitless future possibilities of biomedical engineering research in social media. (© 2017 Published by Elsevier B.V.) |
| References: | Drug Discov Today. 2013 Mar;18(5-6):272-81. (PMID: 23103282) |
| فهرسة مساهمة: | Keywords: fake news; hoax; sentiment analysis; social network analysis |
| تواريخ الأحداث: | Date Created: 20200415 Latest Revision: 20200928 |
| رمز التحديث: | 20221213 |
| مُعرف محوري في PubMed: | PMC7128188 |
| DOI: | 10.1016/j.procs.2017.10.049 |
| PMID: | 32288896 |
| قاعدة البيانات: | MEDLINE |
Full Text Finder | تدمد: | 1877-0509 |
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| DOI: | 10.1016/j.procs.2017.10.049 |