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Genetic Programming and Evolvable Machines
Special Issue on
Medical Applications
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Although the application of evolutionary computation (EC) to medicine
is not new, the reporting of new work tends to be distributed among
various technical and clinical publications in a somewhat disparate
manner. A special issue of Genetic Programming and Evolvable Machines
satisfies the need for a much needed focus for medical related
applications of EC, not only providing a clear definition of the state
of the art, but also support to practitioners for whom EC might not be
their main area of expertise or experience.
Traditionally, medical applications have used straightforward
implementations of evolutionary algorithms, such as genetic
algorithms, to optimize traditional data analysis in a wide range of
medical applications including signal and image processing, expert
systems, data mining, etc. More recently, however, exploitation of
advanced evolutionary computation paradigms such as genetic
programming and artificial immune systems have been applied directly
to challenging applications such as diagnosis and monitoring.
The aim of this Special Issue is to provide the reader with a snapshot
of the current practice and an indication of future trends in this
exciting and demanding application area.
Subjects will include (but are not limited to) applications of Genetic
and Evolutionary Computation to:
Medical imaging
Medical signal processing
Clinical diagnosis and therapy
Data mining of medical data and records
Clinical expert systems
Modeling and simulation of medical processes
The publication schedule is as follows:
* Submission deadline: October 31, 2006
* Notification of acceptance: February 28, 2007
* Final manuscript: April 30, 2007
Submission procedure:
All electronic submissions must be sent to Steve Smith at:
sls5@ohm.york.ac.uk
Manuscripts should conform to the standard format of the Genetic
Programming and Evolvable Machine journal as indicated in the
Information for Authors available at the Journal website
(www.springer.com/10710).
All submissions will be peer reviewed subject to the standards of the
journal. Manuscripts based on previously published conference papers
must be extended substantially. Electronic submissions in postscript
or PDF are strongly preferred. Please send all submissions to one of
the guest editors.
All enquiries on this special issue should be sent to Steve Smith at:
sls5@ohm.york.ac.uk
Prospective authors are also invited to send an email to Steve Smith
indicating their interest in submitting a paper and the specific
topics addressed.
Guest editors:
Stephen L Smith
The University of York, UK
Department of Electronics
Email: sls5@ohm.york.ac.uk
WWW: http://www-users.york.ac.uk/~sls5/
Tel: +44 1904 432351
Fax: +44 1904 433224
Stefano Cagnoni
Universita' degli Studi di Parma, Italy
Dipartimento di Ingegneria dell'Informazione
E-Mail: cagnoni@CE.UniPR.IT
WWW http://www.ce.unipr.it/people/cagnoni/
Tel: +39 (0521) 90 5731
Fax: +39 (0521) 90 5723
Journal Website:
http://www.springer.com/10710