ArticleThe Journal of clinical psychiatry2023
Leveraging Natural Language Processing to Improve Electronic Health Record Suicide Risk Prediction for Veterans Health Administration Users.
Article in The Journal of clinical psychiatry, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.
What it found
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The trial behind it
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Who cites it
19 citing papers in PubMed.
- Identification of suicidal ideation in major depressive disorder: A machine learning approach with multimodal digital features.PLOS digital health · 2026Article
- Natural Language Processing Applied to Psychiatric Clinical Notes: Scoping Review.JMIR medical informatics · 2026Article
- Comparative Evaluation of Pretrained Large Language Models for Suicide Risk Prediction from Clinical Notes in U.S. Veterans.medRxiv : the preprint server for health sciences · 2026Article
- Personalizing Suicide Risk Assessment: Machine Learning Extraction of Cross-Modal Interactions Between Psychosocial and Demographic Factors in Veterans.medRxiv : the preprint server for health sciences · 2026Article
- Evaluating Evidence-Based Psychotherapy Utilization Patterns Among Suicide-Risk-Stratified Veterans Diagnosed with Major Depressive Disorder.Administration and policy in mental health · 2026Article
- Evaluating model generalizability for suicide attempt risk prediction: traditional machine vs deep learning.Npj mental health research · 2026Article
- Life events extraction from healthcare notes for veteran acute suicide risk prediction.Journal of the American Medical Informatics Association : JAMIA · 2026Article
- Enhancing personalized suicide risk prediction for VA patients by integrating discrete natural language processing models.Translational psychiatry · 2026Article
- Developing a Suicide Risk Prediction Algorithm Using Electronic Health Record Data in Mental Health Care: Real-World Case Study.JMIR medical informatics · 2026Article
- Developing a Natural Language Processing Strategy to Avoid Biased Data in Electronic Health Record Suicide Risk Modeling.Psychiatric research and clinical practice · 2026Article
- Large language models in adolescent suicide prevention: from language signals to accountable action.Frontiers in public health · 2026Review
- Machine learning applications related to suicide in military and Veterans: A scoping literature review.Journal of biomedical informatics · 2025Article
- Preprocessing of natural language process variables using a data-driven method improves the association with suicide risk in a large veterans affairs population.Computers in biology and medicine · 2025Article
- Artificial Intelligence in Psychiatry: A Review of Biological and Behavioral Data Analyses.Diagnostics (Basel, Switzerland) · 2025Review
- Using Natural Language Processing to Inform Targeted Rural and Urban Hispanic VA Suicide Prediction Models.Rural mental health · 2025Article
- Investigating the Differential Impact of Psychosocial Factors by Patient Characteristics and Demographics on Veteran Suicide Risk Through Machine Learning Extraction of Cross-Modal Interactions.Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing · 2025Article
- Using Natural Language Processing to develop risk-tier specific suicide prediction models for Veterans Affairs patients.Journal of psychiatric research · 2024Article
- Using natural language processing to evaluate temporal patterns in suicide risk variation among high-risk Veterans.Psychiatry research · 2024Article
- Characterizing Veteran suicide decedents that were not classified as high-suicide-risk.Psychological medicine · 2024Article
Corrections and comments
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Authors and funding
7 authors.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.