Neurofuzzy Classification of the Effect of Diabetes Mellitus on Carotid Artery
Journal of Medical Systems
A Neurofuzzy Classification System for the Effects of Diabetes Mellitus on Ophthalmic Artery
Journal of Medical Systems
Classification of Mitral Insufficiency and Stenosis Using MLP Neural Network and Neuro–Fuzzy System
Journal of Medical Systems
Expert Systems with Applications: An International Journal
The Classification of Obesity Disease in Logistic Regression and Neural Network Methods
Journal of Medical Systems
Applied Soft Computing
Proceedings of the 2007 conference on Emerging Artificial Intelligence Applications in Computer Engineering: Real Word AI Systems with Applications in eHealth, HCI, Information Retrieval and Pervasive Technologies
A fuzzy clustering neural network architecture for classification of ECG arrhythmias
Computers in Biology and Medicine
ISNN'06 Proceedings of the Third international conference on Advances in Neural Networks - Volume Part III
CFNN without normalization-based acetone product quality prediction
ISNN'05 Proceedings of the Second international conference on Advances in Neural Networks - Volume Part III
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Compensatory fuzzy neural networks (CFNN) without normalization, which can be trained with a backpropagation learning algorithm, are proposed as a pattern recognition technique for the intelligent detection of Doppler ultrasound waveforms of abnormal neonatal cerebral hemodynamics. Doppler ultrasound signals were recorded from the anterior cerebral arteries of 40 normal full-term babies and 14 mature babies with intracranial pathology. The features of normal and abnormal groups as inputs to the pattern recognition algorithms were extracted from the maximum-velocity waveforms by using principal component analysis. The proposed technique is compared with the CFNN with normalization and other pattern recognition techniques applied to Doppler ultrasound signals from various arteries. The results show that the proposed method is superior to the other techniques, and can be a powerful way to analyze Doppler ultrasound signals from various arteries.