Predicting suicidal ideation at subsequent clinical encounter in multiple sclerosis patients
The nomologs and the online application provide a potential framework for integrating proactive SI risk prediction into routine care to identify PwMS at heightened SI risk at the next clinical encounter (https://farrenbriggs.shinyapps.io/suicidal_ideation_predictor/). Out-of-sample cross-validation is needed to support model robustness.
Authors
- Daniel Ontaneda (ORCID: https://orcid.org/0000-0002-2838-9148)
- Alessandro S. De Nadai (ORCID: https://orcid.org/0000-0002-7280-576X)
- Deborah Miller (ORCID: https://orcid.org/0000-0002-8026-1854)
- Farren B. S. Briggs (ORCID: https://orcid.org/0000-0003-0903-1359)
- Douglas Gunzler (ORCID: https://orcid.org/0000-0003-3786-8578)
- Isabella Genuario
Institutions
- Cleveland Clinic (US)
- Harvard University (US)
- University of Miami (US)
- McLean Hospital (US)
- Cleveland Clinic Lerner College of Medicine (US)
- University School (US)
- Case Western Reserve University (US)
Publication Details
- Journal
- Multiple Sclerosis Journal
- Published
- 2025-08-25
- DOI
- https://doi.org/10.1177/13524585251365207
- Primary Topic
- Suicide and Self-Harm Studies
- Type
- article
- Field-Weighted Citation Impact
- 0.00