Biosurveillance Data Stream Framework: A Novel Approach to Characterization and Evaluation
| Autor: | M. G. Brown, Lauren Castro, W. Brent Daniel, Kristen Margevicius, Alina Deshpande, Kirsten J. Taylor-McCabe, Eric Generous, Andrea Hengartner |
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| Jazyk: | angličtina |
| Rok vydání: | 2014 |
| Předmět: |
Data stream
biosurveillance Decision support system business.industry Relational database Data stream mining infectious disease ISDS 2013 Conference Abstracts Data science Schema (psychology) General Earth and Planetary Sciences Medicine business Biosurveillance data stream General Environmental Science |
| Zdroj: | Online Journal of Public Health Informatics |
| ISSN: | 1947-2579 |
| Popis: | The Biosurveillance Data Stream Framework and associated definitions are proposed as a starting point to facilitate the development of a standardized lexicon for biosurveillance and characterization of currently used and newly emerging data streams. Criteria for building the data stream framework were developed from an examination of the literature, analysis of information on operational infectious disease biosurveillance systems, and consultation with experts in the area of biosurveillance. To demonstrate utility, the framework and definitions were used as the basis for a schema of a relational database for biosurveillance resources and in the development and use of a decision support tool for data stream evaluation. |
| Databáze: | OpenAIRE |
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