On the use of neuroevolutive methods as support tools for diagnosing appendicitis and tuberculosis
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2018-09-13
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Abstract
Artificial neural networks are being used in diagnosis support systems
to detect different kind of diseases. As the design of multilayer perceptron
is an open question, the present work shows a comparison between a traditional
empirical way and neuroevolution method to find the best architecture to solve
the disease detection problem. Tuberculosis and appendicitis databases were
employed to test both proposals. Results show that neuroevolution offers a good
alternative for the tuberculosis problem but there is lacks of performance in the
appendicitis one.
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