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 the causal mechanisms explaining those conditions. Here, we applied a multiobjective grammar-based genetic programming (MGGP) to a dataset composed by 1047 subjects. The dataset contains information on the environmental, psychosocial, socioeconomics, nutritional and infectious factors collected from participating children. The objective of this work is to generate models that explain the occurrence of asthma, and two markers of allergy: presence of IgE antibody against common allergens, and skin prick te

SUBMITTER: Veiga RV 

PROVIDER: S-EPMC6047363 | biostudies-literature | 2018 Jun

REPOSITORIES: biostudies-literature