2024 No Application of data science methods to identify school and home risk factors for asthma and allergy-related symptoms among children in New York https://www.sciencedirect.com/science/article/abs/pii/S0048969720382796?via%3Dihub Deng, Xinlei North America Modeling Students Elementary (K-5) Carbon Dioxide (CO2) Carbon Monoxide (CO) Volatile Organic Compounds (VOCs) Noise Fungi Asthma Allergy Home and school environment Machine learning Risk factors Using machine learning on data from 10 NY schools, family rhinitis, pollen, and bedroom carpet were key risk factors for asthma and allergies. Hot-water radiator use was linked to reduced asthma. Combined exposures increased risk, highlighting complex environmental effects. 2020