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COMPARATIVE STUDY
E Arana, L Martí-Bonmatí, D Bautista, R Paredes
OBJECTIVES: To establish the minimun set of features needed in the diagnosis of calvarial lesions using computed tomography (CT) and to assess the accuracy of logistic regression (LR) and artificial neural networks (NN) for their diagnosis. MATERIAL AND METHODS: 167 patients with calvarial lesions as the only known disease were enrolled. The clinical and CT data were used for LR and NN models. Both models were tested with the jacknife method. The final results of each model were compared using the area under ROC curves (A 2 )...
October 2003: Neurocirugía
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