[hpc-announce] CFP: "Pervasive Health: Social Media Analytics and Sensing for Healthcare and well-being", Special Issue of Social Network Analysis and Mining

[Carmela Comito]

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               Social Network Analysis and Mining Journal - Springer

 

                                Call for Journal Papers - Special Issue 

 

      Pervasive Health: Social Media Analytics and Sensing for Healthcare
and well-being

 

                    https://www.springer.com/journal/13278/updates/19233986

                                           

 

 

 

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Introduction

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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

 

 

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Aims and Topics

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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

 

 

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Important dates

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Deadline for Submission: 31 December, 2021

First Reviews Due: 1 March, 2022

Revised Manuscript Due: 1 May, 2022

Final Decision: 1 June, 2022

 

 

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Submission Instructions

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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

 

Please note: when submitting choose the correct special issue, i.e. "S.I:
Pervasive Health"  

 

 

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Guest Editors

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Carmela Comito  (Lead Guest Editor)

National Research Council of Italy, Rende, Italy

Email : carmela.comito at icar.cnr.it <mailto:carmela.comito at icar.cnr.it> 

 

Clara Pizzuti 

National Research Council of Italy, Rende, Italy

Email : clara.pizzuti at icar.cnr.it <mailto:clara.pizzuti at icar.cnr.it>