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@article{164417,
        author = {Anmol Mishra and Mohit Mittal  and Amartya Rai and Abhi Jaiswal and Aditya Singh and Aditya Maheshwari},
        title = {PM 2.5 Prediction Using ML Algorithm},
        journal = {International Journal of Innovative Research in Technology},
        year = {},
        volume = {10},
        number = {12},
        pages = {2877-2881},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=164417},
        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.

},
        keywords = {},
        month = {},
        }