Literature DB >> 26153005

#DigitalHealth: Exploring Users' Perspectives through Social Media Analysis.

Soroosh Afyouni1, Ahmed E Fetit1, Theodoros N Arvanitis1.   

Abstract

In order to explore the role of social media in forming an understanding of digital healthcare, we conducted a study involving sentiment and network analysis of Twitter contents. In doing this, we gathered 20,400 tweets that mentioned the key term #DigitalHealth for 55 hours, over a three-day period. In addition to examining users' opinions through sentiment analysis, we calculated in-degree centralities of nodes to identify the hubs in the network of interactions. The results suggest that the overall opinion about digital healthcare is generally positive. Additionally, our findings indicate that the most prevalent keywords, associated with digital health, widely range from mobile health to wearable technologies and big data. Surprisingly, the results show that the newly announced wearable technologies could occupy the majority of discussions.

Mesh:

Year:  2015        PMID: 26153005

Source DB:  PubMed          Journal:  Stud Health Technol Inform        ISSN: 0926-9630


  4 in total

Review 1.  Sentiment Analysis of Health Care Tweets: Review of the Methods Used.

Authors:  Sunir Gohil; Sabine Vuik; Ara Darzi
Journal:  JMIR Public Health Surveill       Date:  2018-04-23

2.  Contents and sentiment analysis of newspaper articles and comments on telemedicine in Korea: Before and after of COVID-19 outbreak.

Authors:  EunKyo Kang; Narae Song; HyoRim Ju
Journal:  Health Informatics J       Date:  2022 Jan-Mar       Impact factor: 2.681

3.  An improved multi-objective imperialist competitive algorithm for surgical case scheduling problem with switching and preparation times.

Authors:  Hui Yu; Jun-Qing Li; Xiao-Long Chen; Wei Niu; Hong-Yan Sang
Journal:  Cluster Comput       Date:  2022-04-07       Impact factor: 2.303

4.  Twitter-based analysis reveals differential COVID-19 concerns across areas with socioeconomic disparities.

Authors:  Yihua Su; Aarthi Venkat; Yadush Yadav; Lisa B Puglisi; Samah J Fodeh
Journal:  Comput Biol Med       Date:  2021-03-13       Impact factor: 6.698

  4 in total

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