Berkeley Initiative in Soft Computing (BISC)
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CALL FOR PAPERS
Special issue of _Information Fusion_ on
Information Fusion in Public Health Informatics and Surveillance
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Submission deadline: May 30, 2008
Submission procedures:
http://dccwww.bumc.bu.edu/imp/IFJ-CFP-PHI-Final.pdf
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This special issue will consider submissions concerning novel
applications of
information fusion and data integration to the fields of public health
informatics,
biosurveillance, real-time monitoring of health outcomes, coordinated
response
to emergency management, and related problems in public health.
As the fields of public health informatics, medical informatics, and
biosurveillance
have developed over the last decade, methods for integrating multiple data
streams have become increasingly important for the early detection,
continuous
monitoring, and timely formulation of effective action by public
health agencies.
Real-time or near-real-time data originating from syndromic surveillance
systems offer a prototypical example of typical data sources for which such
applications have shown potential.
The special issue seeks to encourage the adoption of a wider variety of
information fusion techniques to the full range of public health information
integration challenges. Machine learning methods, artificial neural
networks,
Bayesian networks, and multivariate statistical methods for aberration
detection
are examples of such techniques.
Methods originating in the engineering sciences, like Kalman filters
or approaches
based on optimal detection theory may also find application in the
domains of
interest for this special issue. Other methods popular in the
artificial intelligence
community, e.g. fuzzy logic, nonmonotonic formalisms, and principled
heuristics
are also welcome.
Contributions should be described in sufficient detail to be
reproducible on the
basis of the material presented in the paper. We invite manuscripts
that are original
and not previously published or presented even in a more or less
similar form in any
other forum.
Topics suited for this special issue include, but are not limited to:
· Applications of information fusion, and demonstrations of their
utility for the
purposes of biosurveillance
· Novel methods to integrate multiple data streams from biosurveillance
systems
· Inference from interagency/multiple modality sources for early warning and
incident management
· Evaluation metrics for competing or comparable methods
· Theoretical considerations that may impact future public health
informatics
developments
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_Information Fusion_ is an international journal on multi-sensor and
multi-source information
fusion, published by Elsevier. The Editor-in-Chief is Belur V.
Dasarathy, Ph. D, FIEEE,
belurd@gmail.com, http://belur.no-ip.com
The guest editors for this special issue are
Al Ozonoff, Boston University School of Public Health, aozonoff@bu.edu
Paul Snow, paulusnix@gmail.com
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