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...

ver descrição completa

Na minha lista:
Detalhes bibliográficos
Publicado no:JAMA Netw Open
Main Authors: 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: Artigo
Idioma:Inglês
Publicado em: American Medical Association 2018
Assuntos:
Original Investigation
Acesso em linha:https://ncbi.nlm.nih.gov/pmc/articles/PMC6324448/
https://ncbi.nlm.nih.gov/pubmed/30646240
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1001/jamanetworkopen.2018.3451
Tags: Adicionar Tag
Sem tags, seja o primeiro a adicionar uma tag!

Registos relacionados