Term identification methods for consumer health vocabulary development.
J Med Internet Res
; 9(1): e4, 2007 Feb 28.
Article
en En
| MEDLINE
| ID: mdl-17478413
ABSTRACT
BACKGROUND:
The development of consumer health information applications such as health education websites has motivated the research on consumer health vocabulary (CHV). Term identification is a critical task in vocabulary development. Because of the heterogeneity and ambiguity of consumer expressions, term identification for CHV is more challenging than for professional health vocabularies.OBJECTIVE:
For the development of a CHV, we explored several term identification methods, including collaborative human review and automated term recognition methods.METHODS:
A set of criteria was established to ensure consistency in the collaborative review, which analyzed 1893 strings. Using the results from the human review, we tested two automated methods-C-value formula and a logistic regression model.RESULTS:
The study identified 753 consumer terms and found the logistic regression model to be highly effective for CHV term identification (area under the receiver operating characteristic curve = 95.5%).CONCLUSIONS:
The collaborative human review and logistic regression methods were effective for identifying terms for CHV development.
Texto completo:
1
Colección:
01-internacional
Banco de datos:
MEDLINE
Asunto principal:
Educación en Salud
/
Vocabulario Controlado
Tipo de estudio:
Diagnostic_studies
/
Prognostic_studies
/
Risk_factors_studies
Límite:
Humans
Idioma:
En
Revista:
J Med Internet Res
Asunto de la revista:
INFORMATICA MEDICA
Año:
2007
Tipo del documento:
Article
País de afiliación:
Estados Unidos