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Evaluating the Potential of Mobile Applications for Mental Health Prediction: A Review

  • Sahil Gupta,
  • Nimish Vashist,
  • Prashant Kumar Pal,
  • Swati Sharma

摘要

The human mind is a remarkable cognitive powerhouse, influencing perception, decision-making, and behavior. Its effectiveness lies in its ability to process information, solve problems, adapt to new situations, and experience emotions. A healthy mind is essential for well-being, productivity, and personal growth. However, mental health issues have become a global concern, with increasing attention to accessible and cost-effective interventions. This meta-analysis endeavors to fill this critical gap by systematically investigating the efficacy of standalone psychological interventions for mental health via smartphone application. By synthesizing insights from previous research and analyzing trends in mobile health interventions, this study aims to delineate effective behavior change techniques, ascertain participant perceptions regarding the feasibility and functionality of mental health applications, and evaluate the precision of many popular machine learning techniques.