Concurrent and Prospective Prediction of Suicidal Ideation in Adolescents Using Multimethod Data and Machine Learning: A Pilot Study
We worked to ensure that the study questionnaires were prepared in an inclusive way. We worked to ensure sex and gender balance, as well as race, ethnic, and/or other types of diversity in the recruitment of human participants. While citing references scientifically relevant for this work, we also actively worked to promote sex and gender balance in our reference list. The author list of this paper includes contributors from the location and/or community where the research was conducted who participated in the data collection, design, analysis, and/or interpretation of the work. One or more of the authors of this paper self-identifies as a member of one or more historically underrepresented racial and/or ethnic groups in science. One or more of the authors of this paper self-identifies as a member of one or more historically underrepresented sex and/or gender groups in science.
Authors
- Samantha Pegg (ORCID: https://orcid.org/0000-0003-2080-8827)
- Autumn Kujawa (ORCID: https://orcid.org/0000-0002-0560-4589)
- Lisa Venanzi (ORCID: https://orcid.org/0000-0002-2666-5604)
- Lindsay Dickey (ORCID: https://orcid.org/0000-0002-3368-2357)
- George Abitante (ORCID: https://orcid.org/0000-0002-6422-8974)
- Madison Politte‐Corn (ORCID: https://orcid.org/0000-0002-8016-507X)
- Anh Dao (ORCID: https://orcid.org/0000-0002-3498-7865)
- Griffin B Murch
Institutions
- University of Southern California (US)
- Pennsylvania State University (US)
- Vanderbilt University (US)
Publication Details
- Journal
- JAACAP Open
- Published
- 2025-05-08
- DOI
- https://doi.org/10.1016/j.jaacop.2025.04.008
- Citations
- 1
- Primary Topic
- Suicide and Self-Harm Studies
- Type
- article
- Field-Weighted Citation Impact
- 2.31
Funders
- Klingenstein Third Generation Foundation
- National Institutes of Health
- National Center for Advancing Translational Sciences