One week left to submit: Special Issue on Artificial Intelligence for Mobile Health Data Analysis and Processing (IF 0.958)

Dear Colleague,

    

    We would appreciate if you could consider submitting your work to
    the Special Issue on "Artificial Intelligence for Mobile Health
      Data Analysis and Processing", Journal of Mobile Information
    Systems, Hindawi (Impact Factor: 0.958)

    https://apps.clarivate.com/jif/home?journal=MOB%20INF%20SYST&year=2017&editions=SCIE&pssid=H1-bx2Fw5nVTKro6PIUp6Vx2FwVmcPzfUp6XsX2-18x2daTCY2r3thC9TPTpUU0DGKQx3Dx3DnQPUZ5ym7U9AXBYsV1z7uQx3Dx3D-9vvmzcndpRgQCGPd1c2qPQx3Dx3D-wx2BJQh9GKVmtdJw3700KssQx3Dx3D.

    

    You are welcome to distribute this call or to send us the names,
    e-mail addresses, and affiliations of colleagues that you would
    recommend enriching the content of the theme issue.

    

    We are looking forward to receiving your contribution, and we remain

    

    Yours sincerely,

    

    Giovanna Sannino,

    

    Lead Guest Editor of the Special Issue on "Artificial Intelligence
    for Mobile Health Data Analysis and Processing", JMIS, Hindawi.

    

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

    

    Mobile Information Systems

    

    Impact Factor: 0.958

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    MISSION:

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    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 patientsâ??
    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:

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    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:

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    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:

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    Submission deadline: August 03, 2018 (extended and firm!!!)

    Publication date: December, 2018

    

    

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