Utilizing natural language processing for precision prevention of mental health disorders among youth: A systematic review.

Journal: Computers in biology and medicine
PMID: 39986200

Abstract

BACKGROUND: The global mental health crisis has created barriers to youth mental healthcare, leaving many disorders unaddressed. Precision prevention, which identifies individual risks, offers the potential for tailored interventions. While natural language processing (NLP) has shown promise in the early detection of mental health disorders, no review has examined its role in youth mental health detection. We hypothesize that NLP can improve early detection and personalized care in mental healthcare among youth.

Authors

  • Sheriff Tolulope Ibrahim
    DEPtH Lab, School of Health Studies, Faculty of Health Sciences, Western University, London, Ontario, N6A 5B9, Canada; Children's Health Research Institute, Lawson Health Research Institute, 750 Base Line Road East, Suite 300, London, Ontario, N6A 5B9, Canada.
  • Madeline Li
    DEPtH Lab, School of Health Studies, Faculty of Health Sciences, Western University, London, Ontario, N6A 5B9, Canada.
  • Jamin Patel
    DEPtH Lab, Faculty of Health Sciences, Western University, London, Ontario, Canada N6A 5B9; Department of Epidemiology and Biostatistics, Schulich School of Medicine and Dentistry, Western University, London, Ontario, Canada N6A 3K7.
  • Tarun Reddy Katapally
    DEPtH Lab, Faculty of Health Sciences, Western University, London, Ontario, Canada N6A 5B9; Department of Epidemiology and Biostatistics, Schulich School of Medicine and Dentistry, Western University, London, Ontario, Canada N6A 3K7; Children's Health Research Institute, Lawson Health Research Institute, 750 Base Line Road East, Suite 300, London, Ontario, Canada N6C 2R5. Electronic address: tarun.katapally@uwo.ca.

Keywords

External Resources

Popular Topics
Recent Journals