Manuscript Number : CSEIT172657
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.
S. Jeya Air Pollution, Respiratory ailments, Machine learning, Air Quality. Publication Details Published in : Volume 2 | Issue 6 | November-December 2017 Article Preview
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
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