Multiobjective grammar-based genetic programming applied to the study of asthma and allergy epidemiology

Multiobjective grammar-based genetic programming applied to the study of asthma and allergy epidemiology

Abstract Background Asthma and allergies prevalence increased in recent decades, being a serious global health problem. They are complex diseases with strong contextual influence, so that the use of advanced machine learning tools such as genetic programming could be important for the understanding...

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Bibliographic Details
Main Authors: Rafael V. Veiga, Helio J. C. Barbosa, Heder S. Bernardino, João M. Freitas, Caroline A. Feitosa, Sheila M. A. Matos, Neuza M. Alcântara-Neves, Maurício L. Barreto
Format: Article
Language:English
Published: BMC 2018-06-01
Series:BMC Bioinformatics
Subjects:
Genetic programming
Asthma
Allergy
Classifier
Multiobjective
Online Access:http://link.springer.com/article/10.1186/s12859-018-2233-z

Internet

http://link.springer.com/article/10.1186/s12859-018-2233-z

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