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[Announcements] Special Issue on Artificial Intelligence for Mobile Health Data Analysis and Processing

From
Giovanna Sannino <>
Date
2018-03-26T10:57:53+00:00
ID
Thread
[Announcements] Special Issue on Artificial Intelligence for Mobile Health Data Analysis and Processing
​*[Please
          accept our sincere apologies if you receive multiple copies of
          this announcement]* 

        

        

        

        
**
          Call for papers ** 

        

      

      

      

      
===========================================================================

      
Special
        Issue on Artificial Intelligence for Mobile Health Data Analysis
        and Processing

      

      

      
Mobile
        Information Systems

      

      

      
Impact
        Factor: 0.849

        

      

      
WEB
        OF SCIENCE (WOS) link: 

      

      
https://jcr.incites.thomsonreuters.com/JCRJournalProfileAction.action?pg=JRNLPROF&journalImpactFactor=0.849&year=2016&journalTitle=Mobile%20Information%20Systems&edition=SCIE&journal=MOB%20INF%20SYST 

      
===========================================================================

      

      

      
MISSION: 

      
------------------------------------------------------------------------------

      
Nowadays,
        Internet of Things (IoT) is changing eHealth and especially
        mobile Health (m-Health) systems. Currently, more and more fixed
        and mobile medical devices installed in patients\'92 personal
        body networks, medical devices and in surrounding clinical/home
        environments collect and send a huge amount of heterogeneous
        health data to healthcare information systems for their
        analysis. In this context machine learning and data mining
        techniques are becoming more and more important in many
        real-life problems. An important number of these techniques are
        dedicated to health data processing and analysis on mobile
        devices. Several mobile applications based on these techniques
        have emerged as an essential technology for improving the
        quality of medical diagnosis and treatments of many illnesses as
        well as many health disorders. 

      
Existing
        techniques used for processing health data can be broadly
        classified into two categories: (a) Non-Artificial Intelligence
        (AI) systems & (b) Artificial Intelligence systems. Even
        though non-AI techniques are less complex in nature, most of the
        systems suffer from the drawbacks of inaccuracy and lack of
        convergence. Hence, these systems are generally replaced by AI
        based systems which are much superior to the conventional
        systems. AI techniques are mostly hybrid in nature and include
        Artificial Neural Networks (ANN), Fuzzy theory, Evolutionary
        algorithms, etc. Though most of the techniques are theoretically
        sound, the potential of these techniques is not fully explored
        for practical applications. Many of the computational
        applications still depend on Non-AI systems, which limit their
        practical usage. 

      

      

      
This
        special issue especially focuses on the feasibility of machine
        learning and data mining techniques on practical mobile health
        applications. These practical mobile applications include for
        instance biomedical, medical images processing, health
        management, etc. This special issue serves for discovering the
        untold advantages of data science techniques for practical
        mobile health applications, and also brings out solutions for
        many real-life problems through advanced theoretical and
        experimental approaches. 

      

      

      

      

      
TOPICS: 

      
------------------------------------------------------------------------------ 

      
The
        topics for this special issue include but not limited to:

      

      

      
-
        Novel architectures for m-Health data analysis and processing 

      
-
        Fuzzy approaches for mobile applications dedicate to health
        management

      
-
        Evolutionary algorithms for optimization methodologies for
        mHealth applications

      
-
        Medical-informatics applications using intelligence
        methodologies on mobile devices

      
-
        Applications of AI techniques in signal & image processing
        on mobile devices

      
-
        Mobile bio-medical applications involving ANN, fuzzy theory, etc

      
-
        Data Mining for health data processing and analysis on mobile
        devices

      
-
        Machine Learning and Deep learning for health-related mobile
        applications 

      

      

      

      

      
PAPER
        SUBMISSION: 

      
------------------------------------------------------------------------------ 

      
Authors
        are invited to submit their papers written in English in pdf.

      
Please,
        find information on how to prepare it at: https://www.hindawi.com/journals/misy/guidelines/.

      

      

      

      

      
IMPORTANT
        DATES: 

      
------------------------------------------------------------------------------ 

      
Submission
        deadline: June 29, 2018

      
Publication
        date: November, 2018

      

      

      

      

      
FOR
        ANY OTHER INFORMATION https://www.hindawi.com/journals/misy/si/532718/cfp/
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