Comparison of 2 Natural Language Processing Methods for Identification of Bleeding Among Critically Ill Patients

IMPORTANCE: To improve patient safety, health care systems need reliable methods to detect adverse events in large patient populations. Events are often described in clinical notes, rather than structured data, which make them difficult to identify on a large scale. OBJECTIVE: To develop and compare...

Descripción completa

Detalles Bibliográficos
Autores principales: Taggart, Maxwell, Chapman, Wendy W., Steinberg, Benjamin A., Ruckel, Shane, Pregenzer-Wenzler, Arianna, Du, Yishuai, Ferraro, Jeffrey, Bucher, Brian T., Lloyd-Jones, Donald M., Rondina, Matthew T., Shah, Rashmee U.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: American Medical Association 2018
Materias:
Original Investigation
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6324448/
https://www.ncbi.nlm.nih.gov/pubmed/30646240
http://dx.doi.org/10.1001/jamanetworkopen.2018.3451

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6324448/
https://www.ncbi.nlm.nih.gov/pubmed/30646240
http://dx.doi.org/10.1001/jamanetworkopen.2018.3451

Ejemplares similares