Using natural language processing to inform targeted rural and urban Hispanic U.S. Department of Veterans Affairs suicide prediction models.

This study enhances understanding about rural and urban Hispanic suicide decedents and could inform suicide prediction and preventive services.

Authors

Institutions

Publication Details

Journal
Rural Mental Health
Published
2025-10-23
DOI
https://doi.org/10.1037/rmh0000320
Primary Topic
Suicide and Self-Harm Studies
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Using natural language processing to inform targeted rural and urban Hispanic U.S. Department of Veterans Affairs suicide prediction models.

Natalie Riblet, Joshua Levy, Brian Shiner, Bradley V. Watts et al.
Rural Mental Health
Suicide and Self-Harm Studies
article

Using natural language processing to inform targeted rural and urban Hispanic U.S. Department of Veterans Affairs suicide prediction models.

Natalie Riblet, Joshua Levy, Brian Shiner, Bradley V. Watts, Maxwell Levis, Monica Dimambro
article en

Abstract

This study enhances understanding about rural and urban Hispanic suicide decedents and could inform suicide prediction and preventive services.

Rural Mental HealthVol. 50(1)
Dartmouth College (US), Cedars-Sinai Medical Center (US), White River Junction VA Medical Center (US), National Center for Post Traumatic Stress Disorder (US)
Office of Rural Health
Openalex Percentile: Top 58%
Suicide and Self-Harm Studies
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.