An Assessment on Effects of Air Pollution Using Machine Learning

Authors(2) :-S. Jeya, Dr. L. Sankari

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.

Authors and Affiliations

S. Jeya
Research Scholar, Department of Computer Science, Sri Ramakrishna College of Arts and Science for Women, Coimbatore, India
Dr. L. Sankari
Associate Professor, Department of Computer Science, Sri Ramakrishna College of Arts and Science for Women, Coimbatore, India

Air Pollution, Respiratory ailments, Machine learning, Air Quality.

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Publication Details

Published in : Volume 2 | Issue 6 | November-December 2017
Date of Publication : 2017-12-31
License:  This work is licensed under a Creative Commons Attribution 4.0 International License.
Page(s) : 197-202
Manuscript Number : CSEIT172657
Publisher : Technoscience Academy

ISSN : 2456-3307

Cite This Article :

S. Jeya, Dr. L. Sankari, "An Assessment on Effects of Air Pollution Using Machine Learning ", International Journal of Scientific Research in Computer Science, Engineering and Information Technology (IJSRCSEIT), ISSN : 2456-3307, Volume 2, Issue 6, pp.197-202, November-December-2017.
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