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PM 2.5 Prediction Using ML Algorithm

  • Unique Paper ID: 164417
  • Volume: 10
  • Issue: 12
  • PageNo: 2877-2881
  • Abstract:
  • A study explored links between air pollution and asthma, using data from 183 locations worldwide. They looked at pollution levels like PM2.5, NO2, and ozone. Surprisingly, they found no strong connection between these pollutants and asthma rates at the community level, unlike studies focusing on traffic pollution. Tracking changes over time, they noticed asthma rates decreasing as PM2.5 and ozone levels went down. Another part of the study highlighted the severe health risks of particulate matter (PM) pollution, which is linked to heart and lung diseases. Long-term exposure to PM raises the risk of heart problems and worsens respiratory issues. The review also discussed the use of case-crossover designs in studying pollution’s health impacts, suggesting that while these designs are effective, there’s room for improvement in understanding individual-level effects.
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Cite This Article

  • ISSN: 2349-6002
  • Volume: 10
  • Issue: 12
  • PageNo: 2877-2881

PM 2.5 Prediction Using ML Algorithm

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8.01 (Year 2024)
UGC Approved
Journal no 47859

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