Prioritization of Free-Text Clinical Documents: A Novel Use of a Bayesian Classifier

BACKGROUND: The amount of incoming data into physicians’ offices is increasing, thereby making it difficult to process information efficiently and accurately to maximize positive patient outcomes. Current manual processes of screening for individual terms within long free-text documents are tedious...

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Detalles Bibliográficos
Autores principales: Singh, Mark, Murthy, Akansh, Singh, Shridhar
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Gunther Eysenbach 2015
Materias:
Original Paper
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4409648/
https://www.ncbi.nlm.nih.gov/pubmed/25863643
http://dx.doi.org/10.2196/medinform.3793

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4409648/
https://www.ncbi.nlm.nih.gov/pubmed/25863643
http://dx.doi.org/10.2196/medinform.3793

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