Special Issue "Social Media Data Analysis for Public Health: Methods, Techniques and Real World Cases"
Deadline for manuscript submissions: 30 September 2021.
Interests: medical informatics; knowledge acquisition; disease networks; social media
Interests: knowledge engineering; ontologies; artificial intelligence; machine learning; eHealth; public health
Special Issues and Collections in MDPI journals
Interests: knowledge engineering; complex systems; service-oriented computing; interoperability; social network analysis
The amount of information available online is increasing every day, and new tools, architectures, and approaches for dealing with such a large amount of data are necessary. Moreover, one of the areas where the amount of information is growing rapidly is in social networks, where social media content is being produced at an extreme speed. In these social media forums, the users can talk about anything, including topics related to medicine and healthcare. We require new approaches to dealing with this kind of information to be transformed into actionable knowledge. In a connected world, the information provided in social media can help to determine new public health policies and actions.
This Special Issue aims to bring together works focused on the application of real-world use cases, scenarios, and approaches that take advantage of the creation and consumption of health-related information in social media for the public health sector.
Dr. Alejandro Rodríguez González
Dr. José Alberto Benítez Andrades
Dr. Jose María Alvarez Rodríguez
Manuscript Submission Information
Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All papers will be peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.
Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Healthcare is an international peer-reviewed open access monthly journal published by MDPI.
Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 1600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.
- health monitoring and surveillance using social networks and media
- data analysis over social networks and media
- public health policies and social networks and media
- knowledge extraction and representation of health-related topics in social media
- ontology-based healthcare systems
- deep learning in healthcare
- machine learning in healthcare
- collective intelligence in social networks and media.