Social Network Analysis and Mining - Call for Papers: Pervasive Health: Social Media Analytics and Sensing for Healthcare and well-being
The fast expansion of social media in the last few years is making available an enormous and continuous stream of user-generated contents containing invaluable information that can be used to understand, in near real time, human life dynamics worldwide. These massive quantities of data could support in a wide range of medical and healthcare applications, including among others clinical trials and decision support, disease surveillance, personalized medicines and population health management. Besides, social media combines textual, temporal, geographical and network data, opening up unique opportunities to study the interplay between human mobility, social structure and disease transmission.
On the other side, healthcare delivery is undergoing unprecedented transformation; healthcare systems worldwide continue to strive for innovative approaches all levels of care delivery. The fast-growing and vigorously dynamic trend of social media data analytics for healthcare play a crucial role in healthcare transformation.
Artificial intelligence (AI) is changing the landscape of healthcare and modern personalized precision medicine. With the increasing availability of healthcare data and rapid progress of machine learning algorithms, AI and big data analytics are enabling unprecedented analysis of healthcare. Social media networks, when combined with Big Data applications and health policymaking, enable the development of smart public health applications that will result in high-quality health delivery and reduced costs. Examples of such application include the following ones:
- Early warnings of disease outbreaks such as seasonal influenza and pandemics
- Broad scale disease profiling to identify predictive events and support prevention initiatives
- Patient care delivery is changing with patient participatory medicine and personalized medicine providing the means of involving patients in the design and delivery of their care
- Increase in collaborative care delivery by enabling collaboration across time and space
The special issue solicits empirical, experimental, methodological, and theoretical research reporting original and unpublished results on social media analysis and mining on topics in the realm of healthcare and health informatics along with applications to real life situations. This can mean new models, new datasets, new algorithms, or new applications. Topics of interest include, but are not limited to:
- Personal health virtual assistant
- Early disease diagnosis and treatment prediction
- Clinical decision support in disease diagnosis and treatment
- Analysis and interpretation of radiology images
- Treatment Impact prediction
- Methods for the automatic detection and extraction of health-related concept
- Classifying and clustering of temporal health data in high dimensional spaces
- Application of deep learning methods to health data
- Novel architectures for scalable health data analysis and mining
- Community discovery and analysis
- Large-scale graph algorithms for social network analysis
- Spatio-temporal prediction of pandemics
- Methods for capturing outbreaks of infectious diseases
- Modeling the health status and well-being of individuals
- Models to predict the users’ moods from social posts
- Real-time syndromic surveillance and early detection of emerging disease
- Virus spread monitoring and modelization
- Drug adversial reaction
- Detect health-related topics of discussion and events
- Drug abuse and alcoholism incidence monitoring
- Methodologies and measures to understand patterns and trends for general public health research
IMPORTANT DATES
Deadline for Submission: 31 March, 2022
First Reviews Due: 1 June, 2022
Revised Manuscript Due: 1 August, 2022
Final Decision: 1 September, 2022
SUBMISSION INSTRUCTIONS
Articles reporting original and unpublished research results pertaining to the above topics are solicited. Submitted articles will follow an academic review process. Manuscripts must be prepared according to the instruction for authors available at the journal webpage and submitted through the publisher's online submission system, available at: https://www.editorialmanager.com/snam (this opens in a new tab)
Please note: when submitting choose the correct special issue, i.e. “S.I: Pervasive Health”
GUEST EDITORS
Carmela Comito (Lead Guest Editor)
National Research Council of Italy, Rende, Italy
Email : carmela.comito@icar.cnr.it (this opens in a new tab)
Clara Pizzuti
National Research Council of Italy, Rende, Italy
Email : clara.pizzuti@icar.cnr.it (this opens in a new tab)