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Health Information Data Mining for Early Identification of Bioterrorism
Title: Research Schientist
Phone: (703) 841-0990
Email: jdavis@dynatec.com
Title: CFO/COO
Phone: (310) 543-5433
Email: tliesy@dynatec.com
Dynamics Technology, Inc. will build on the success of its automated anomaly detection processor (AADP) and develop a comprehensive system of medical surveillance and alerting for early warning of emerging infection's outbreaks and biological weapons attack. The AADP will use advanced signal processing technology-neural net clustering, dynamic change point detection, coupled with Self Organizing Map, Gaussian Mixture Models and Bayesian analysis. Data captured from clinical and veterinary information systems, poison center data, over-the-counter drug sales, public health laboratories, pharmacies, nursing homes, school health rooms, attendance records, and operational units and Navy ships will support real-time epidemiological analysis by the AADP for indicators of possible anomalous or threatening activity that are indicative of a biological event in the DoD military or civilian population. The AADP will automatically forward alerts to a central node for posting on a web-based geographic display and for in-depth analysis of anomalous or unusual health events. Our approach includes and leverages ongoing work for Intelligence and Civil Agencies to predict and assess infectious disease spread. The result is a novel software tool that provides automated situational awareness capability and supports improved dynamic health information data management without requiring users to specify threat behaviors or templates.
* Information listed above is at the time of submission. *