Probabilistic Case Detection for Disease Surveillance Using Data in Electronic Medical Records

This paper describes a probabilistic case detection system (CDS) that uses a Bayesian network model of medical diagnosis and natural language processing to compute the posterior probability of influenza and influenza-like illness from emergency department dictated notes and laboratory results. The d...

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Detalles Bibliográficos
Autores principales: Tsui, Fuchiang, Wagner, Michael, Cooper, Gregory, Que, Jialan, Harkema, Hendrik, Dowling, John, Sriburadej, Thomsun, Li, Qi, Espino, Jeremy U., Voorhees, Ronald
Formato: Online Artículo Texto
Lenguaje:English
Publicado: University of Illinois at Chicago Library 2011
Materias:
Articles
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3615792/
https://www.ncbi.nlm.nih.gov/pubmed/23569615
http://dx.doi.org/10.5210/ojphi.v3i3.3793

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3615792/
https://www.ncbi.nlm.nih.gov/pubmed/23569615
http://dx.doi.org/10.5210/ojphi.v3i3.3793

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