Corpus-Based Problem Selection for EHR Note Summarization.
AMIA Annu Symp Proc
; 2010: 817-21, 2010 Nov 13.
Article
en En
| MEDLINE
| ID: mdl-21347092
ABSTRACT
Physicians have access to patient notes in volumes far greater than what is practical to read within the context of a standard clinical scenario. As a preliminary step toward being able to provide a longitudinal summary of patient history, methods are examined for the automated extraction of relevant patient problems from existing clinical notes. We explore a grounded approach to identifying important patient problems from patient history. Methods build on existing NLP and text-summarization methodologies and leverage features observed in a relevant corpus.
Texto completo:
1
Banco de datos:
MEDLINE
Asunto principal:
Médicos
/
Registros Electrónicos de Salud
Tipo de estudio:
Prognostic_studies
Límite:
Humans
Idioma:
En
Año:
2010
Tipo del documento:
Article