Abstract
Diabetes is the most common disease nowadays in all populations and in all age groups. Different techniques of artificial intelligence has been applied to diabetes problem. This research proposed the artificial metaplasticity on multilayer perceptron (AMMLP) as prediction model for prediction of diabetes. The Pima Indians diabetes was used to test the proposed model AMMLP. The results obtained by AMMLP were compared with other algorithms, recently proposed by other researchers,that were applied to the same database. The best result obtained so far with the AMMLP algorithm is 89.93%. © 2011 Springer-Verlag Berlin Heidelberg.
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CITATION STYLE
Marcano-Cedeño, A., Torres, J., & Andina, D. (2011). A prediction model to diabetes using artificial metaplasticity. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 6687 LNCS, pp. 418–425). https://doi.org/10.1007/978-3-642-21326-7_45
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