From Static to Dynamic Prediction of Suicide Risk

This Viewpoint explores how suicide risk prediction models could be improved by prioritizing dynamic data, allowing clinicians insight into actionable modifiable risk factors.

Authors

Institutions

Publication Details

Journal
JAMA Psychiatry
Published
2025-09-10
DOI
https://doi.org/10.1001/jamapsychiatry.2025.2426
Citations
4
Primary Topic
Mental Health Research Topics
Type
article
Field-Weighted Citation Impact
8.47
Controls
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article

From Static to Dynamic Prediction of Suicide Risk

Lianne Schmaal, Dominic Dwyer, Barnaby Nelson, Josh Nguyen
4 citations
JAMA Psychiatry
Mental Health Research Topics
8.47
article

From Static to Dynamic Prediction of Suicide Risk

Lianne Schmaal, Dominic Dwyer, Barnaby Nelson, Josh Nguyen
article en
4 citations

Abstract

This Viewpoint explores how suicide risk prediction models could be improved by prioritizing dynamic data, allowing clinicians insight into actionable modifiable risk factors.

JAMA PsychiatryVol. 82(11)
The University of Melbourne (AU), Orygen (AU), Monash University (AU)
Openalex Percentile: Top 2%
Mental Health Research Topics
8.47
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