Created by W.Langdon from gp-bibliography.bib Revision:1.8098
Results: The average of the accuracies of the models for asthma higher in MGGP than C4.5. IgE were higher in MGGP than in both, logistic regression and C4.5. MGGP had levels of accuracy similar to RF, but unlike RF, MGGP was able to generate models that were easy to interpret.
Conclusions: MGGP has shown that infections, psychosocial, nutritional, hygiene, and socioeconomic factors may be related in such an intricate way, that could be hardly detected using traditional regression based epidemiological techniques. The algorithm MGGP was implemented in c++ and is available",
Methodology article Open Access",
Genetic Programming entries for Rafael Valente Veiga Helio J C Barbosa Heder Soares Bernardino Joao Marcos de Freitas Caroline Alves Feitosa Sheila M A Matos Neuza Maria Alcantara-Neves Mauricio Lima Barreto