Cargando…
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...
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: | |
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 |
Ejemplares similares
-
Probabilistic, Decision-theoretic Disease Surveillance and Control
por: Wagner, Michael, et al.
Publicado: (2011) -
Natural language processing and machine learning of electronic health records for prediction of first-time suicide attempts
por: Tsui, Fuchiang R, et al.
Publicado: (2021) -
Spatial and Temporal Algorithm Evaluation for Detecting Over-The-Counter Thermometer Sale Increases during 2009 H1N1 Pandemic
por: Que, Jialan, et al.
Publicado: (2012) -
Modeling Baseline Shifts in Multivariate Disease Outbreak Detection
por: Que, Jialan, et al.
Publicado: (2013) -
Probabilistic record linkage
por: Sayers, Adrian, et al.
Publicado: (2016)