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Prediction of smartphone overdependence and analysis of its influencing factors among older adults based on machine learning.

This study used panel data from South Korea's 2023 Smartphone Overdependence Survey to build and compare machine-learning models predicting smartphone overdependence among adults aged 60+. Among evaluated classifiers, XGBoost had the best reported predictive performance (accuracy 0.925). The most important predictors…

Comment on: What is the radiation before 5G? A correlation study between measurements in situ and in real time and epidemiological indicators in Vallecas, Madrid, by I. López, N. Félix, M. Rivera, A. Alonso, and C. Maestú.

This article is a comment on a previously published correlation study assessing whether RF-EMF exposure relates to survey-based health indicators such as sleep, headache, and fatigue. The authors state they performed a detailed analysis of the original study and offer clarifications. The abstract does not provide the…