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Geographical Information System for Patients, Neoplasms and Associated Environmental Contamination

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Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 10409))

Abstract

This application offers a computerized solution to the registration and geo-referenced visualization of patients, neoplasms and associated environmental contamination. The statistical information generated allows physicians and hospitals to evaluate in a timely manner the behavior of the disease and its association with the pollutants, also by means of algorithms to obtain clusters that allow the delimitation of high risk areas. In general, the application allows the study of pediatric patients with different neoplasms and different contaminants. The particular case presented here is the study and analysis of the electromagnetic contamination associated with leukemia in the infant population of the metropolitan area of Guadalajara, the application allows the registration of the general information of the patient as well as the measurements of electric and magnetic field in high and low frequency. The results shows the geographical distribution of patients, radiation values received, hospitals, schools, high voltage lines, telecommunication antennas and high risk areas for contamination using maps, graphs and data tables. As a conclusion, we now have a real-time tool that facilitates the creation of prevention policies to combat the impact of radiation as one of the possible causes in the development of leukemia in the child population considered as an additional element of health risk public.

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Correspondence to Jesús Leonardo Soto-Sumuano .

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Soto-Sumuano, J.L., Olivera-Guerrero, F.J., Tlacuilo-Parra, J.A., Garibaldi Covarrubias, R., Romo-Rubio, H., Abundis-Gutierrez, E. (2017). Geographical Information System for Patients, Neoplasms and Associated Environmental Contamination. In: Gervasi, O., et al. Computational Science and Its Applications – ICCSA 2017. ICCSA 2017. Lecture Notes in Computer Science(), vol 10409. Springer, Cham. https://doi.org/10.1007/978-3-319-62407-5_20

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  • DOI: https://doi.org/10.1007/978-3-319-62407-5_20

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-62406-8

  • Online ISBN: 978-3-319-62407-5

  • eBook Packages: Computer ScienceComputer Science (R0)

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