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Development of medical expert systems that use artificial neural networks as their knowledge bases appears to be a promising method for predicting diagnosis and possible treatment routine. This paper deals with the construction and training of an artificial neural network for skin disease diagnosis (SDD) based on patients' symptoms and causative organisms. The artificial neural network constructed...
Although increasingly sophisticated algorithms have been proposed to decompose intramuscular electromyography signals into the concurrent activities of individual motor units (MUs), the human operator is still able to improve decomposition results by visual inspection. The rationale for this paper was to combine components from previous decomposition procedures in an expert systems approach utilizing...
An expert system has been developed to facilitate biological 31-phosphorus nuclear magnetic resonance (31-PNMR) spectral analysis and interpretation. The expert system represents knowledge as production rules that reason about signal extraction, noise treatment, resonance assignment, intracellular pH determination, and metabolite intensity quantitation. The results from analysis of NMR spectra obtained...
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