CALL FOR PAPERS
* Manuscript submission deadline: May 10 *
Special Issue on Intelligent Biomedical Data, Signal and Image Analysis
Artificial Intelligence in Medicine
(http://www.aiimjournal.com/)
Aim:
A substantial body of work from researchers around the globe has been
devoted to the development of intelligent techniques that can analyze
biomedical data and extract useful medical knowledge. Applications
stemming from such research have had a considerable impact in
healthcare. However, still several open problems remain in analyzing
biomedical data which existing approaches cannot yet sufficiently tackle.
The aim of this special issue is to present novel techniques and
introduce new research directions in biomedical data analysis that can
help address the key open issues in the field.
Important dates:
Manuscript submission deadline: May 10, 2013
Notification of initial decisions: August 10, 2013
Revised submission deadline: October 20, 2013
Notification of final decisions: December 20, 2013
Final manuscripts: January 31, 2014
Rationale
Recently, a sharp increase in capacity for collecting medical data has
become possible with the availability of modern biomedical
instrumentation. However, these data should undergo appropriate analysis
in order to extract meaningful information that could be of use to
medical practitioners. Unfortunately, in most cases traditional data
analysis techniques are unable to handle the high dimensionality and
sheer volume of such data. This has led to the development of novel data
mining techniques that can identify patterns and generate useful medical
knowledge. Such techniques, originating from diverse fields such as
machine learning, statistics, and signal processing, have received
considerable attention during the last decade and are increasingly being
adopted in healthcare.
Prominent examples include the application of data mining techniques for
analyzing data generated by high-throughput 'omic' technologies with the
purpose of identifying candidate biomarkers, and the extraction of
meaningful features form analyzing data obtained by medical imaging
technologies (e.g. MRI, CT).
Despite this encouraging progress there are still many challenging
issues that have not yet been adequately addressed. Examples include the
high-dimensionality of data with an inordinate number of features
compared to the limited number of cases, datasets suffering from strong
class imbalance, violation of the i.i.d. assumption (which is adopted by
most techniques), limited availability of labeled data, and several more.
Topics
The topics of this special issue include, but are not limited to:
* Biomedical data mining
* Combination of structured and unstructured data
* Intelligent data analysis in bio- and clinical medicine
* Intelligent analysis and fusion of genomic and proteomic data
* Intelligent medical image analysis
* Intelligent medical signal processing
* Disease progression prediction
* Data and knowledge representation / aquisition
* Intelligent Mining of Biomedical Streaming Data
Paper submission and review:
We invite authors to submit original research articles, as well as
comprehensive reviews, which contribute towards the aim of the special
issue. Submitted articles should report on significant previously
unpublished work.
Revised and substantially extended workshop and conference papers in the
field will also be considered. In these cases the journal paper
submission should contain at least 30% of new, previously unpublished
material. Authors should indicate in the cover letter whether the
submission is based on, or extends substantially, a previously published
conference or workshop paper, in which case a description of what is new
must also be included.
Manuscripts must follow the AIIM guidelines. The submission format and
other relevant details can be found at the journal submission site
http://ees.elsevier.com/aiim/. *All manuscripts should indicate in the
comments page of the submission process that they are being submitted
for the Special Issue on Intelligent Biomedical Data, Signal and Image
Analysis.*
Each submission will be peer-reviewed by at least three reviewers. Guest
editors will screen the submissions for eligibility and quality. All
papers accepted to the special issue are subject to final approval by
the Editor-in-Chief of the AIIM journal. It is planned that the articles
will appear in one of the issues of the Artificial Intelligence in
Medicine Journal, edited and published by Elsevier, in 2014. AIIM
typically has 9 issues per year.
Guest editors:
Harris Papadopoulos
Frederick University, Cyprus
harris.papadopoulos[at]gmail.com
Efthyvoulos Kyriacou
Frederick University, Cyprus
e.kyriacou[at]frederick.ac.cy
Ilias Maglogiannis
University of Central Greece, Greece
imaglo[at]ucg.gr
George Anastassopoulos
Democritus University of Thrase, Greece
anasta[at]med.duth.gr
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