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Fig. 7 | BMC Anesthesiology

Fig. 7

From: The application of a neural network to predict hypotension and vasopressor requirements non-invasively in obstetric patients having spinal anesthesia for elective cesarean section (C/S)

Fig. 7

Evolution of the difference of the absolute error (a) and mean AUC (b) between the single-layer network and the two-layer network as a function of the number of nodes of the network as well as the phenylephrine dosage. Note that the error difference (A) is negative for nodes< 12, indicating that the two-layer error is larger. For nodes< 12 the AUC is smaller for the two-layer network, as indicated by the positive AUC difference. For larger node numbers there is no difference in classification performance

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BMC Anesthesiology

ISSN: 1471-2253

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