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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...
| Autores principales: | , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Oxford University Press
2017
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| Materias: | |
| 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 |