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

From: Giovanna Sannino <giovanna.sannino@icar.cnr.it>
Date: Fri, 27 Jul 2018 09:52:16 +0200
To: "Giovanna.sannino@cnr.it" <giovanna.sannino@cnr.it>
Message-ID: <1632b18a-12c1-7bbc-2592-4f0c04c810b5@icar.cnr.it>
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)

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.

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

Mobile Information Systems

Impact Factor: 0.958

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’ 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 

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.

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 
- Medical-informatics applications using intelligence methodologies on 
mobile devices
- Applications of AI techniques in signal & image processing on mobile 
- 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

Authors are invited to submit their papers written in English in pdf.
Please, find information on how to prepare it at: 

Submission deadline: *August 03, 2018 (extended and firm!!!)*
Publication date: December, 2018

Received on Friday, 27 July 2018 07:52:48 UTC

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