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- W2892035464 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." @default.
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- W2892035464 date "2018-01-01" @default.
- W2892035464 modified "2023-09-27" @default.
- W2892035464 title "On the Use of Neuroevolutive Methods as Support Tools for Diagnosing Appendicitis and Tuberculosis" @default.
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- W2892035464 doi "https://doi.org/10.1007/978-3-030-00350-0_15" @default.
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