On a synthetic country-level climate-health dataset, PM2.5 is the dominant predictor of respiratory disease rate and AQI-derived air quality, and removing it sharply lowers classification accuracy.
Artificial Intelligence Platform to Predict Children’s Hospital Care for Respiratory Disease Using Clinical, Pollution, and Climatic Factors
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Interpretable Machine Learning for Air Pollution and Respiratory Health Prediction: A Socioeconomic Subgroup Analysis
On a synthetic country-level climate-health dataset, PM2.5 is the dominant predictor of respiratory disease rate and AQI-derived air quality, and removing it sharply lowers classification accuracy.