This paper is in the following e-collection/theme issue:

Theme Issue 2024: Machine Learning-Based Predictive Models Using Genomic Data (5) Methods and New Tools in Mental Health Research (487) Depression and Mood Disorders; Suicide Prevention (1445) New Methods (990) Diagnostic Tools in Mental Health (268) Methods and Instruments in Medical Informatics (149) Mental Health Surveillance and Epidemiology (72)

Published on in Vol 5 (2024)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/58357, first published .
Enhancing Suicide Risk Prediction With Polygenic Scores in Psychiatric Emergency Settings: Prospective Study

Enhancing Suicide Risk Prediction With Polygenic Scores in Psychiatric Emergency Settings: Prospective Study

Enhancing Suicide Risk Prediction With Polygenic Scores in Psychiatric Emergency Settings: Prospective Study

Authors of this article:

Younga Heather Lee1, 2, 3 Author Orcid Image ;   Yingzhe Zhang1, 2, 4 Author Orcid Image ;   Chris J Kennedy3, 5 Author Orcid Image ;   Travis T Mallard1, 2, 3 Author Orcid Image ;   Zhaowen Liu1, 2, 3, 6 Author Orcid Image ;   Phuong Linh Vu7 Author Orcid Image ;   Yen-Chen Anne Feng1, 2, 3, 8 Author Orcid Image ;   Tian Ge1, 2, 3, 5 Author Orcid Image ;   Maria V Petukhova9 Author Orcid Image ;   Ronald C Kessler9 Author Orcid Image ;   Matthew K Nock10, 11, 12 Author Orcid Image ;   Jordan W Smoller1, 2, 3, 5 Author Orcid Image
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