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The complexity of our contemporary medical practice has impelled the development of different decision-support aids based on artificial intelligence and neural networks.Distributed associative memories are neural network models that fit perfectly well to the vision of cognition emerging from current neurosciences.
Context-dependent associative memories can operate as medical expert systems. The model is presented in a simple and tutorial way to encourage straightforward implementations by medical groups. An application with real data, presented as a primary evaluation of the validity and potentiality of the model in medical diagnosis, shows that the model is a highly promising alternative in the development of accuracy diagnostic tools.
Reprinted with Permission from BioMed Central Ltd.
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