Exploring Cyberchondria among Young Adults: An Iceberg

Cyberchondria behavior, characterized by excessive online health searching, has become agrowing concern in the digital age. This behavior can lead to increased health anxiety, decreasedquality of life, and unnecessary healthcare utilization. However, detecting cyberchondria behavioris a challenging task due to the complexity and variability of online behaviors. Traditional machinelearning approaches often rely on hand-crafted features and may not capture the nuanced patternsof cyberchondria behavior. To address this challenge, a novel approach using Deep Q Network(DQN) is proposed to detect cyberchondria behavior