Predictors of Cyberchondria during the COVID-19 pandemic: A cross-sectional study using supervised machine learning
Description
CONCLUSIONS: These findings provide evidence about the impact of the COVID-19 pandemic on cyberchondria and identify factors that should be considered in efforts to prevent and manage cyberchondria at times of public health crises. Also, they are
