Evaluating natural language processing derived linguistic features associated with current suicidal ideation, past attempts, and future suicidal behavior.

Journal: Journal of psychiatric research
Published Date: May 2, 2025

Abstract

BACKGROUND: People with psychosis have a higher suicide risk than the general population. Natural language processing (NLP) has been used to understand communication in psychosis and suicide risk prediction, but not to predict future suicidal behavior in people with psychosis. We utilized NLP-derived linguistic features from a dyadic task among people with psychotic disorders to predict current suicide ideation, past suicide attempts, and future suicidal behavior.

Authors

  • Lauren McBride
    San Diego State University/University of California San Diego Joint Doctoral Program in Clinical Psychology, San Diego, CA, USA.
  • Varsha D Badal
    Center for Computational Biology and Department of Molecular Biosciences, The University of Kansas, Lawrence, Kansas, 66047, USA.
  • Philip D Harvey
    University of Miami Miller School of Medicine, 1600 NW 10th Ave, Miami, FL, 33136, USA; Research Service, Bruce W. Carter VA Medical Center, 1201 NW 16th St, Miami, FL, 33125, USA. Electronic address: pharvey@med.miami.edu.
  • Amy Pinkham
    School of Behavioral and Brain Sciences, The University of Texas at Dallas, Richardson, TX, USA.
  • Ankit Aich
    National Institute on Drug Abuse, National Institutes of Health, Baltimore, MD, USA; University of Pennsylvania, Philadelphia, PA, USA.
  • Natalie Parde
    Computer Science, College of Engineering, University of Illinois at Chicago, Chicago, IL, United States.
  • Colin Depp
    Department of Psychiatry, University of California San Diego, La Jolla, CA, USA.

Keywords

External Resources

Popular Topics
Recent Journals