Original Contribution: Stacked generalization
Neural Networks
Combining Regularized Neural Networks
ICANN '97 Proceedings of the 7th International Conference on Artificial Neural Networks
Wavelet-Based Neural Network Analysis of Internal Carotid Arterial Doppler Signals
Journal of Medical Systems
A novel large-memory neural network as an aid in medical diagnosis applications
IEEE Transactions on Information Technology in Biomedicine
Model selection for a medical diagnostic decision support system: a breast cancer detection case
Artificial Intelligence in Medicine
Modified Mixture of Experts for Diabetes Diagnosis
Journal of Medical Systems
Adaptive Neuro-Fuzzy Inference Systems for Automatic Detection of Breast Cancer
Journal of Medical Systems
Journal of Medical Systems
Hi-index | 0.00 |
This paper illustrates the use of combined neural network (CNN) models to guide model selection for diagnosis of internal carotid arterial (ICA) disorders. The ICA Doppler signals were decomposed into time-frequency representations using discrete wavelet transform and statistical features were calculated to depict their distribution. The first level networks were implemented for the diagnosis of ICA disorders using the statistical features as inputs. To improve diagnostic accuracy, the second level network was trained using the outputs of the first level networks as input data. The CNN models achieved accuracy rates which were higher than that of the stand-alone neural network models.