Word2Vec inversion and traditional text classifiers for phenotyping lupus

BACKGROUND: Identifying patients with certain clinical criteria based on manual chart review of doctors’ notes is a daunting task given the massive amounts of text notes in the electronic health records (EHR). This task can be automated using text classifiers based on Natural Language Processing (NL...

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Detalles Bibliográficos
Autores principales: Turner, Clayton A., Jacobs, Alexander D., Marques, Cassios K., Oates, James C., Kamen, Diane L., Anderson, Paul E., Obeid, Jihad S.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2017
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5568290/
https://www.ncbi.nlm.nih.gov/pubmed/28830409
http://dx.doi.org/10.1186/s12911-017-0518-1

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5568290/
https://www.ncbi.nlm.nih.gov/pubmed/28830409
http://dx.doi.org/10.1186/s12911-017-0518-1

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