2024 Yes Predicting environmental risk factors in relation to health outcomes among school children from Romania using random forest model - An analysis of data from the SINPHONIE project https://linkinghub.elsevier.com/retrieve/pii/S0048-9697(21)02215-4 Lin, Ziqiang Europe Exposure Modeling Students Elementary (K-5) High School (9-12) Noise Particulate Matter (PM) Respiratory symptoms children Exposure Health outcomes Logistic regression Machine learning Machine learning and logistic regression analyzed school/home environments and child health in Romania. Risk factors like tobacco smoke, dampness, traffic, and noise predicted symptoms. RF models showed better prediction, guiding environmental health policy. 2021