Predictive Bayesian Network Model Using Electronic Patient Records for Prevention of Hospital-Acquired Pressure Ulcers
Journal of Korean Academy of Nursing
;
: 423-431, 2011.
Artículo
en Coreano
| WPRIM
| ID: wpr-128129
ABSTRACT
PURPOSE:
The study was designed to determine the discriminating ability of a Bayesian network (BN) for predicting risk for pressure ulcers.METHODS:
Analysis was done using a retrospective cohort, nursing records representing 21,114 hospital days, 3,348 patients at risk for ulcers, admitted to the intensive care unit of a tertiary teaching hospital between January 2004 and January 2007. A BN model and two logistic regression (LR) versions, model-I and -II, were compared, varying the nature, number and quality of input variables. Classification competence and case coverage of the models were tested and compared using a threefold cross validation method.RESULTS:
Average incidence of ulcers was 6.12%. Of the two LR models, model-I demonstrated better indexes of statistical model fits. The BN model had a sensitivity of 81.95%, specificity of 75.63%, positive and negative predictive values of 35.62% and 96.22% respectively. The area under the receiver operating characteristic (AUROC) was 85.01% implying moderate to good overall performance, which was similar to LR model-I. However, regarding case coverage, the BN model was 100% compared to 15.88% of LR.CONCLUSION:
Discriminating ability of the BN model was found to be acceptable and case coverage proved to be excellent for clinical use.
Texto completo:
Disponible
Índice:
WPRIM (Pacífico Occidental)
Asunto principal:
Modelos Logísticos
/
Registros Médicos
/
Valor Predictivo de las Pruebas
/
Estudios Retrospectivos
/
Estudios de Cohortes
/
Teorema de Bayes
/
Medición de Riesgo
/
Área Bajo la Curva
/
Úlcera por Presión
Tipo de estudio:
Estudio de etiología
/
Estudio de incidencia
/
Estudio observacional
/
Estudio pronóstico
/
Factores de riesgo
Límite:
Adulto
/
Anciano
/
Femenino
/
Humanos
/
Masculino
Idioma:
Coreano
Revista:
Journal of Korean Academy of Nursing
Año:
2011
Tipo del documento:
Artículo
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