Cargando…
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...
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: | |
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 |
Ejemplares similares
-
Portability of natural language processing methods to detect suicidality from clinical text in US and UK electronic health records
por: Cusick, Marika, et al.
Publicado: (2022) -
Reviewing a Decade of Research Into Suicide and Related Behaviour Using the South London and Maudsley NHS Foundation Trust Clinical Record Interactive Search (CRIS) System
por: Bittar, André, et al.
Publicado: (2020) -
Using General-purpose Sentiment Lexicons for Suicide Risk Assessment in Electronic Health Records: Corpus-Based Analysis
por: Bittar, André, et al.
Publicado: (2021) -
Identifying Suicide Ideation and Suicidal Attempts in a Psychiatric Clinical Research Database using Natural Language Processing
por: Fernandes, Andrea C., et al.
Publicado: (2018) -
Applied natural language processing in mental health big data
por: Stewart, Robert, et al.
Publicado: (2020)