Using clinical Natural Language Processing for health outcomes research: Overview and actionable suggestions for future advances

The importance of incorporating Natural Language Processing (NLP) methods in clinical informatics research has been increasingly recognized over the past years, and has led to transformative advances. Typically, clinical NLP systems are developed and evaluated on word, sentence, or document level an...

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Detalles Bibliográficos
Autores principales: Velupillai, Sumithra, Suominen, Hanna, Liakata, Maria, Roberts, Angus, Shah, Anoop D., Morley, Katherine, Osborn, David, Hayes, Joseph, Stewart, Robert, Downs, Johnny, Chapman, Wendy, Dutta, Rina
Formato: Online Artículo Texto
Lenguaje:English
Publicado: 2018
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6986921/
https://www.ncbi.nlm.nih.gov/pubmed/30368002
http://dx.doi.org/10.1016/j.jbi.2018.10.005

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6986921/
https://www.ncbi.nlm.nih.gov/pubmed/30368002
http://dx.doi.org/10.1016/j.jbi.2018.10.005

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