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An Assessment on Effects of Air Pollution Using Machine Learning

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  • S. Jeya
  • L. Sankari

Abstract

Atmospheric pollutants P.M10, SO2, NO2, CO, and Ground level Ozone affect our ecosystems and are harmful to human health. Air Pollution has been identified to cause several respiratory and heart ailments which lead to thousands of deaths every year. Children are more susceptible to such ailments than adults. Metropolitan areas are worst affected from air pollution caused by industries and automobiles. With the help of statistical models built using machine learning and data mining techniques, computerised medical support systems could be designed to aid in treating diseases triggered by pollution. Also the models can be useful in predicting future pollution trends based on current data in order to help manage and control toxic atmospheric emissions.

Suggested Citation

  • S. Jeya & L. Sankari, 2017. "An Assessment on Effects of Air Pollution Using Machine Learning," International Journal of Scientific Research in Computer Science, Engineering and Information Technology, International Journal of Scientific Research in Computer Science, Engineering and Information Technology, vol. 2(6), pages 197-202, December.
    • Handle: RePEc:jbh:ijsrcs:v2:y2017:i6:id:hcseit172657
    Note: Article URL: https://ijsrcseit.com/CSEIT172657
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