학술논문

Using grammar-based genetic programming to determine characteristics of multiple infections and environmental factors in the development of allergies and asthma
Document Type
Conference
Source
2015 IEEE Congress on Evolutionary Computation (CEC) Evolutionary Computation (CEC), 2015 IEEE Congress on. :1604-1611 May, 2015
Subject
Bioengineering
Computing and Processing
Power, Energy and Industry Applications
Robotics and Control Systems
Sociology
Statistics
Grammar
Predictive models
Biological system modeling
Genetics
Reactive power
genetic programming
classifier
asthma
allergy
Language
ISSN
1089-778X
1941-0026
Abstract
In recent decades asthma and allergies had great increase worldwide, being currently a serious global health problem. The causes of these disorders are unknown, but the most accepted hypothesis is that improving hygiene and reducing infections may be the main cause of this increase. Both asthma and allergies are complex diseases with strong environmental influence, so the use of versatile tools such as genetic programming can be important in the understanding of those conditions. We applied genetic programming to data obtained from 1296 children. Data related to chronic viral infections and environmental factors were used to classify in asthmatic and non-asthmatic, IgE and SPT in order to assess allergy. For asthma, viral infections were not relevant while for IgE and SPT they were. The use of genetic programming is shown to be a powerful tool to help understand those conditions.