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Subject: [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:
==============================
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/
IMPORTANT
DATES:
------------------------------
Submission
deadline: June 29, 2018
Publication
date: November, 2018
FOR
ANY OTHER INFORMATION https://www.hindawi.com/
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