This analytical study evaluated machine learning models (SVM and Random Forest) to predict health symptoms in adults living near mobile phone base stations. The SVM model reportedly achieved high predictive performance for headache, sleep disturbance, dizziness, vertigo, and fatigue, and outperformed Random Forest and prior models. The abstract concludes that proximity to base stations is connected with increased prevalence of several symptoms and emphasizes distance, age, and duration of residence as key predictors.

This review discusses reports of headaches occurring with hand-held cellular telephone use and argues they are likely real and attributable to telephone emissions. It points to earlier reports of headaches from low-intensity microwave exposure and proposes biological plausibility via effects on the blood-brain barrier and dopamine-opiate systems. The author raises the possibility that such headaches could signal biologically significant effects.