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» Prognosis of Approaching Infectious Diseases
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WSC
2008
13 years 11 months ago
An application of parallel Monte Carlo modeling for real-time disease surveillance
The global health, threatened by emerging infectious diseases, pandemic influenza, and biological warfare, is becoming increasingly dependent on the rapid acquisition, processing,...
David W. Bauer, Mojdeh Mohtashemi
ICTAI
2006
IEEE
14 years 2 months ago
Sustained Emerging Spatio-Temporal Co-occurrence Pattern Mining: A Summary of Results
Sustained emerging spatio-temporal co-occurrence patterns (SECOPs) represent subsets of object-types that are increasingly located together in space and time. Discovering SECOPs i...
Mete Celik, Shashi Shekhar, James P. Rogers, James...
BIBE
2007
IEEE
162views Bioinformatics» more  BIBE 2007»
14 years 2 months ago
An Investigation into the Feasibility of Detecting Microscopic Disease Using Machine Learning
— The prognosis for many cancers could be improved dramatically if they could be detected while still at the microscopic disease stage. We are investigating the possibility of de...
Mary Qu Yang, Jack Y. Yang
SCFBM
2008
138views more  SCFBM 2008»
13 years 8 months ago
Epigrass: a tool to study disease spread in complex networks
Background: The construction of complex spatial simulation models such as those used in network epidemiology, is a daunting task due to the large amount of data involved in their ...
Flávio C. Coelho, Oswaldo G. Cruz, Cl&aacut...
URBAN
2011
185views more  URBAN 2011»
13 years 3 months ago
Supporting geographically-aware web document foraging and sensemaking
This paper reports on the development and application of strategies and tools for geographic information seeking and knowledge building that leverages unstructured text resources ...
Brian M. Tomaszewski, Justine Blanford, Kevin Ross...