Machine-learned solutions for three stages of clinical information extraction: the state of the art at i2b2 2010

OBJECTIVE: As clinical text mining continues to mature, its potential as an enabling technology for innovations in patient care and clinical research is becoming a reality. A critical part of that process is rigid benchmark testing of natural language processing methods on realistic clinical narrati...

Descripción completa

Detalles Bibliográficos
Autores principales: de Bruijn, Berry, Cherry, Colin, Kiritchenko, Svetlana, Martin, Joel, Zhu, Xiaodan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BMJ Group 2011
Materias:
Research and Applications
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3168309/
https://www.ncbi.nlm.nih.gov/pubmed/21565856
http://dx.doi.org/10.1136/amiajnl-2011-000150

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3168309/
https://www.ncbi.nlm.nih.gov/pubmed/21565856
http://dx.doi.org/10.1136/amiajnl-2011-000150

Ejemplares similares