Using Grammar-based Genetic Programming to Determine Characteristics of Multiple Infections and Environmental Factors in the Development of Allergies and Asthma

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@InProceedings{Veiga:2015:CEC,
  author =       "Rafael Veiga and Joao Marcos {de Freitas} and 
                 Heder Bernardino and Helio Barbosa and Neuza Alcatara-Neves",
  title =        "Using Grammar-based Genetic Programming to Determine
                 Characteristics of Multiple Infections and
                 Environmental Factors in the Development of Allergies
                 and Asthma",
  booktitle =    "Proceedings of 2015 IEEE Congress on Evolutionary
                 Computation (CEC 2015)",
  year =         "2015",
  editor =       "Yadahiko Murata",
  pages =        "1604--1611",
  address =      "Sendai, Japan",
  month =        "25-28 " # may,
  publisher =    "IEEE Press",
  keywords =     "genetic algorithms, genetic programming",
  DOI =          "doi:10.1109/CEC.2015.7257079",
  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.",
  notes =        "1650 hrs 15521 CEC2015",
}

Genetic Programming entries for Rafael da Veiga Cabral Joao Marcos de Freitas Heder Soares Bernardino Helio J C Barbosa Neuza Alcatara-Neves

Citations