[Apologies
if you receive multiple copies of this CFP]
===========================================================================
Special
Issue on Artificial Intelligence for Mobile Health Data Analysis
and Processing
Mobile
Information Systems
Impact
Factor: 0.849
===========================================================================
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.
IMPORTANT
DATES:
------------------------------------------------------------------------------
Submission
deadline: June 29, 2018
Publication
date: November, 2018