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Predicting Lung Disease Severity via Image-Based AQI Analysis using Deep Learning Techniques
The objective of this study is to devise an integrated approach for predicting air quality using image data and subsequently assessing lung disease severity based on Air Quality Index (AQI). The aim is to implement an integrated approach by refining existing techniques to improve accuracy in predicting AQI and lung disease severity.
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