S e c o n d C a l l f o r P a p e r s Special issue of _Information Fusion_ on
I n f o r m a t i o n F u s i o n i n P u b l i c H e a l t h I n f o r m a t i c s a n d S u r v e i l l a n c e ----- Submission deadline: May 30, 2008 Submission procedures: from the Boston University School of Public Health: http://dccwww.bumc.bu.edu/imp/IFJ-CFP-PHI-Final.pdf or from the link at the journal's website: http://www.elsevier.com/wps/find/journaldescription.cws_home/620862/description ----- 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 ----- _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, [EMAIL PROTECTED], http://belur.no-ip.com The guest editors for this special issue are Al Ozonoff, Boston University School of Public Health, [EMAIL PROTECTED] Paul Snow, [EMAIL PROTECTED] _______________________________________________ uai mailing list [email protected] https://secure.engr.oregonstate.edu/mailman/listinfo/uai
