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Full-Text Articles in Management Sciences and Quantitative Methods
Sambhoos, K., Sudit, M., Paul, J. (2009). Improved Situation Assessment Through Early Detection During A Bioterrorist Attack By Using Dynamic Graph Matching, Jomon Aliyas Paul, Kedar Sambhoos, Sudit Moises
Sambhoos, K., Sudit, M., Paul, J. (2009). Improved Situation Assessment Through Early Detection During A Bioterrorist Attack By Using Dynamic Graph Matching, Jomon Aliyas Paul, Kedar Sambhoos, Sudit Moises
Jomon Aliyas Paul
No abstract provided.
Using Dynamic Graph Matching And Gravity Models For Early Detection Of Bioterrorist Attack By Analysis Of Hospital Patient Data., Jomon Aliyas Paul, Kedar Sambhoos, Govind Hariharan
Using Dynamic Graph Matching And Gravity Models For Early Detection Of Bioterrorist Attack By Analysis Of Hospital Patient Data., Jomon Aliyas Paul, Kedar Sambhoos, Govind Hariharan
Jomon Aliyas Paul
Timely detection of a bioterrorist attack is of profound significance for efficient emergency public health management. Various systems currently exist which are capable of detecting the biologic agents prior to (e.g. biosensors) and after exposure (syndromic surveillance) but suffer from limitations like high cost and false positives (Stoto et al., Williams). In this paper, we use novel dynamic graph matching and gravity models to formulate a more precise and efficient methodology for detection. The problem is complicated by the similarity of anthrax and small pox symptoms to common diseases like influenza, chickenpox, airborne characteristics of these agents (that increases the …