Applicability of SA-SVM classifier to auxiliary diagnosis of renal involvement in SLE / 军事医学
Military Medical Sciences
;
(12): 670-674, 2017.
Artículo
en Chino
| WPRIM
| ID: wpr-664424
ABSTRACT
Objective To establish a computer-aided diagnosis (CAD) model for the classification and diagnosis of systemic lupus erythematosus (SLE) complicated with renal involvement,and to provide a new method for the timely detection and diagnosis of the disease.Methods Simulated annealing(SA) algorithm was used to optimize the penalty coefficient C and kernel function parameter g of the support vector machines(SVM) algorithm before an SA-SVM classifier model was established and was applied to the intelligent assistant diagnosis of SLE.Results Unlike the single SVM classifier,this method never fell into local optimum,and improved the classification accuracy of a classifier.The classification accuracy for SLE with renal involvement was as high as 98.72%.Conclusion The experimental results show that this classification model is well applicable to the intelligent diagnosis of SLE with renal involvement.
Texto completo:
Disponible
Índice:
WPRIM (Pacífico Occidental)
Tipo de estudio:
Estudio diagnóstico
Idioma:
Chino
Revista:
Military Medical Sciences
Año:
2017
Tipo del documento:
Artículo
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