DocumentCode :
1604001
Title :
Powerful computerized spatial epidemiology and semantics through the use of novel mathematical objects: Can artificial intelligence systems identify outbreak sources?
Author :
Jefferson, Tom ; Grossi, Enzo ; Buscem, Massimo
Author_Institution :
Cochrane Acute Respiratory Infections Group, Rome
fYear :
2008
Firstpage :
1
Lastpage :
4
Abstract :
We report on the use of artificial intelligence methods to identify the source of infectious disease outbreaks. The idea is to seek a probabilistic fit between data describing the problem being considered and a set of data providing the solution or to reconstruct "optimal data" given a specific set of rules or constraints. We used three examples to calculate both the Euclidean centroid using simple mathematics the hidden point using an evolutionary algorithm, and a new mathematical object: the topological weighted centroid. In the first (the 1854 London cholera epidemic) and second (the 1967 foot and mouth disease epidemic in England) examples the hidden point was within yards of the outbreak source. In the third example (the 2007 epidemic of Chikungunya fever in Italy) the hidden point was located in the river between the two village epicentres of the spread. Our results are consistent across examples and the method could provide an additional powerful tool for the investigation of the early stages of an epidemic. However, there is a need for field evaluation and validation of both methods and results.
Keywords :
diseases; evolutionary computation; knowledge based systems; medical computing; neural nets; probability; Euclidean centroid; artificial intelligence system; artificial neural network; computerized spatial epidemiology; evolutionary algorithm; infectious disease outbreak identification; mathematical object; probabilistic fit; topological weighted centroid; Artificial intelligence; Artificial neural networks; Bars; Diseases; Evolutionary computation; Foot; Mathematics; Mouth; Rivers; Snow; Artificial Neural Networks (ANNs); Evolutionary Algorithms (EA); hidden unit; outbreak sources;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Fuzzy Information Processing Society, 2008. NAFIPS 2008. Annual Meeting of the North American
Conference_Location :
New York City, NY
Print_ISBN :
978-1-4244-2351-4
Electronic_ISBN :
978-1-4244-2352-1
Type :
conf
DOI :
10.1109/NAFIPS.2008.4531286
Filename :
4531286
Link To Document :
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