The Perils of Using Social Media Data to Predict the Spread of Diseases
| العنوان: | The Perils of Using Social Media Data to Predict the Spread of Diseases |
|---|---|
| المؤلفون: | Patel, A., Amrit, C., Sundaram, D., Bui, T.X. |
| المساهمون: | Operations Management (ABS, FEB), Faculteit Economie en Bedrijfskunde |
| المصدر: | Proceedings of the 52nd Annual Hawaii International Conference on System Sciences: January 8-11, 2019, Maui, Hawaii, 4028-4037 STARTPAGE=4028;ENDPAGE=4037;TITLE=Proceedings of the 52nd Annual Hawaii International Conference on System Sciences HICSS |
| بيانات النشر: | HICSS, 2019. |
| سنة النشر: | 2019 |
| مصطلحات موضوعية: | business.industry, Process (engineering), 05 social sciences, 050301 education, 02 engineering and technology, Disease, Data science, Infectious disease (medical specialty), 020204 information systems, Data quality, Health care, 0202 electrical engineering, electronic engineering, information engineering, Data analysis, Social media, Business, 0503 education |
| الوصف: | The data produced by social media engagement is of interest to various organizations and has been used in different applications like marketing, finance and healthcare. Though the potential of mining this data is high, standard data mining processes do not address the peculiarities of social media data. In this paper, we explore the perils of using social media data in predicting the spread of an infectious disease; perils that are mostly related to data quality, textual analysis and location information. We synthesize findings from a literature review and a data mining exercise to develop an adapted data mining process. This process has been designed to minimize the effects of the perils identified and is thus more aligned with the requirements of predicting disease spread using social media data. The process should be useful to data miners and health institutions. |
| وصف الملف: | application/pdf |
| اللغة: | English |
| URL الوصول: | https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6dfd1adae07520d2be023275b42e3264 https://doi.org/10.24251/HICSS.2019.488 |
| حقوق: | OPEN |
| رقم الأكسشن: | edsair.doi.dedup.....6dfd1adae07520d2be023275b42e3264 |
| قاعدة البيانات: | OpenAIRE |
| الوصف غير متاح. |