Predicting inpatient clinical order patterns with probabilistic topic models vs conventional order sets

Objective: Build probabilistic topic model representations of hospital admissions processes and compare the ability of such models to predict clinical order patterns as compared to preconstructed order sets. Materials and Methods: The authors evaluated the first 24 hours of structured electronic hea...

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Detalles Bibliográficos
Autores principales: Chen, Jonathan H, Goldstein, Mary K, Asch, Steven M, Mackey, Lester, Altman, Russ B
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2017
Materias:
Research and Applications
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5391730/
https://www.ncbi.nlm.nih.gov/pubmed/27655861
http://dx.doi.org/10.1093/jamia/ocw136

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5391730/
https://www.ncbi.nlm.nih.gov/pubmed/27655861
http://dx.doi.org/10.1093/jamia/ocw136

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