Big Data Analytics for Mass Casualty Incident (MCI) Situational Awareness
| Autor: | Brante Goode, Catherine Ordun, Michael J. Hopmeier, Dean Ross, Timothy Davis |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2015 |
| Předmět: |
Knowledge management
Situation awareness Computer science business.industry ISDS 2014 Conference Abstracts media_common.quotation_subject Big data Data science Mass-casualty incident open source trauma Analytics Service (economics) analytics General Earth and Planetary Sciences informatics business General Environmental Science media_common mass casualty |
| Zdroj: | Online Journal of Public Health Informatics |
| ISSN: | 1947-2579 |
| Popis: | An expert panel will share insights from the National Disaster Medical System, Vermont Department of Health, the National Park Service, and Department of Defense, regarding the application of big data analytics on situational awareness of Mass Casualty Incidents (MCIs). Moderated by Booz Allen Hamilton, the panel will share examples from their agencies about the information/data challenges of responding to MCIs, and suggest how analytic methods used to detect disease outbreaks, for example, could be applied. Booz Allen will present 10 situational awareness information-needs criteria identified in a survey of federal experts that could be used to build an analytics tool. |
| Databáze: | OpenAIRE |
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