Early Detection of Depression: Social Network Analysis and Random Forest Techniques.

Journal: Journal of medical Internet research
Published Date:

Abstract

BACKGROUND: Major depressive disorder (MDD) or depression is among the most prevalent psychiatric disorders, affecting more than 300 million people globally. Early detection is critical for rapid intervention, which can potentially reduce the escalation of the disorder.

Authors

  • Fidel Cacheda
    Department of Computer Science, Faculty of Computer Science, University of A Coruna, A Coruna, Spain.
  • Diego Fernandez
    Department of Computer Science, Faculty of Computer Science, University of A Coruna, A Coruna, Spain.
  • Francisco J Novoa
    Department of Computer Science, Faculty of Computer Science, University of A Coruna, A Coruna, Spain.
  • Victor Carneiro
    Department of Computer Science, Faculty of Computer Science, University of A Coruna, A Coruna, Spain.