Predictive Bayesian Network Model Using Electronic Patient Records for Prevention of Hospital-Acquired Pressure Ulcers
Journal of Korean Academy of Nursing
;
: 423-431, 2011.
Article
Dans Coréen
| 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.
Texte intégral:
Disponible
Indice:
WPRIM (Pacifique occidental)
Sujet Principal:
Modèles logistiques
/
Dossiers médicaux
/
Valeur prédictive des tests
/
Études rétrospectives
/
Études de cohortes
/
Théorème de Bayes
/
Appréciation des risques
/
Aire sous la courbe
/
Escarre
Type d'étude:
Etude d'étiologie
/
Etude d'incidence
/
Étude observationnelle
/
Étude pronostique
/
Facteurs de risque
Limites du sujet:
Adulte
/
Adulte très âgé
/
Femelle
/
Humains
/
Mâle
langue:
Coréen
Texte intégral:
Journal of Korean Academy of Nursing
Année:
2011
Type:
Article
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